Triple
T5371044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greensburg, Pennsylvania |
E108849
|
entity |
| Predicate | hasHistoricDistrict |
P295
|
FINISHED |
| Object |
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.
|
E516525
|
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: Greensburg Downtown Historic District | Statement: [Greensburg, Pennsylvania, hasHistoricDistrict, Greensburg Downtown Historic District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greensburg Downtown Historic District Context triple: [Greensburg, Pennsylvania, hasHistoricDistrict, Greensburg Downtown Historic District]
-
A.
Downtown Greensburg Historic District
Downtown Greensburg Historic District is a preserved historic area in Greensburg, Kentucky, known for its significant 19th-century architecture and role in the region’s early civic and commercial development.
-
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.
Embarcadero Historic District
The Embarcadero Historic District is a waterfront area along San Francisco’s eastern shoreline known for its preserved maritime-era architecture, piers, and the iconic Ferry Building.
-
E.
Wheeling Historic District
The Wheeling Historic District is a nationally recognized area in Wheeling, West Virginia, known for its well-preserved 19th- and early 20th-century architecture and its significance in the city’s commercial and transportation history.
- 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: Greensburg Downtown Historic District Triple: [Greensburg, Pennsylvania, hasHistoricDistrict, Greensburg Downtown Historic District]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greensburg Downtown Historic District Target entity description: 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.
-
A.
Downtown Greensburg Historic District
Downtown Greensburg Historic District is a preserved historic area in Greensburg, Kentucky, known for its significant 19th-century architecture and role in the region’s early civic and commercial development.
-
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.
Embarcadero Historic District
The Embarcadero Historic District is a waterfront area along San Francisco’s eastern shoreline known for its preserved maritime-era architecture, piers, and the iconic Ferry Building.
-
E.
Wheeling Historic District
The Wheeling Historic District is a nationally recognized area in Wheeling, West Virginia, known for its well-preserved 19th- and early 20th-century architecture and its significance in the city’s commercial and transportation history.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd8688b7488190a57baedd52a11b1a |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf334ac2548190ad672943ac138373 |
completed | March 22, 2026, 12:09 a.m. |
| NEDg | Description generation | batch_69bf33cc90b48190ae84e51763d25e16 |
completed | March 22, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf340c4b708190abb9be455f6dacb2 |
completed | March 22, 2026, 12:13 a.m. |
Created at: March 20, 2026, 2:02 p.m.