Triple

T9962288
Position Surface form Disambiguated ID Type / Status
Subject Johnstown, Pennsylvania E195596 entity
Predicate hasHistoricDistrict P295 FINISHED
Object Downtown Johnstown Historic District
Downtown Johnstown Historic District is a nationally recognized historic area in Johnstown, Pennsylvania, noted for its concentration of late 19th- and early 20th-century commercial and civic architecture reflecting the city’s industrial and flood-related history.
E831989 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Downtown Johnstown Historic District | Statement: [Johnstown, Pennsylvania, hasHistoricDistrict, Downtown Johnstown Historic District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Johnstown Historic District
Context triple: [Johnstown, Pennsylvania, hasHistoricDistrict, Downtown Johnstown Historic District]
  • A. Johnstown Historic District
    Johnstown Historic District is a nationally recognized area in Johnstown, New York, noted for its well-preserved 18th- and 19th-century architecture and its significance in the region’s political and commercial history.
  • B. Latrobe Historic District
    Latrobe Historic District is a nationally recognized historic area in Latrobe, Pennsylvania, known for its concentration of architecturally significant 19th- and early 20th-century buildings reflecting the city’s development as a regional industrial and transportation center.
  • C. Downtown Scranton Historic District
    Downtown Scranton Historic District is a central area of Scranton, Pennsylvania, known for its concentration of historically significant commercial and civic buildings that reflect the city’s industrial-era growth and architectural heritage.
  • D. Greensburg Downtown Historic District
    Greensburg Downtown Historic District is a nationally recognized historic core of Greensburg, Pennsylvania, noted for its concentration of late 19th- and early 20th-century commercial and civic architecture.
  • E. Monongahela Downtown Historic District
    Monongahela Downtown Historic District is a nationally recognized historic area in Monongahela, Pennsylvania, noted for its concentration of late 19th- and early 20th-century commercial and civic architecture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Downtown Johnstown Historic District
Triple: [Johnstown, Pennsylvania, hasHistoricDistrict, Downtown Johnstown Historic District]
Generated description
Downtown Johnstown Historic District is a nationally recognized historic area in Johnstown, Pennsylvania, noted for its concentration of late 19th- and early 20th-century commercial and civic architecture reflecting the city’s industrial and flood-related history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Downtown Johnstown Historic District
Target entity description: Downtown Johnstown Historic District is a nationally recognized historic area in Johnstown, Pennsylvania, noted for its concentration of late 19th- and early 20th-century commercial and civic architecture reflecting the city’s industrial and flood-related history.
  • A. Johnstown Historic District
    Johnstown Historic District is a nationally recognized area in Johnstown, New York, noted for its well-preserved 18th- and 19th-century architecture and its significance in the region’s political and commercial history.
  • B. Latrobe Historic District
    Latrobe Historic District is a nationally recognized historic area in Latrobe, Pennsylvania, known for its concentration of architecturally significant 19th- and early 20th-century buildings reflecting the city’s development as a regional industrial and transportation center.
  • C. Downtown Scranton Historic District
    Downtown Scranton Historic District is a central area of Scranton, Pennsylvania, known for its concentration of historically significant commercial and civic buildings that reflect the city’s industrial-era growth and architectural heritage.
  • D. Greensburg Downtown Historic District
    Greensburg Downtown Historic District is a nationally recognized historic core of Greensburg, Pennsylvania, noted for its concentration of late 19th- and early 20th-century commercial and civic architecture.
  • E. Monongahela Downtown Historic District
    Monongahela Downtown Historic District is a nationally recognized historic area in Monongahela, Pennsylvania, noted for its concentration of late 19th- and early 20th-century commercial and civic architecture.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d37f0c8190946b958c399f3250 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d904bbc8190ac0b28600ed2e709 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23fa1e3288190b755b3966178ad52 completed April 5, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69d24077720c81909a43ff56627095a1 completed April 5, 2026, 10:59 a.m.
Created at: March 30, 2026, 8:47 p.m.