Triple

T2782364
Position Surface form Disambiguated ID Type / Status
Subject Spartanburg, South Carolina E61724 entity
Predicate hasHistoricDistrict P295 FINISHED
Object Downtown Spartanburg Historic District
Downtown Spartanburg Historic District is a central area of Spartanburg, South Carolina, known for its concentration of historically significant commercial and civic buildings that reflect the city’s development from the late 19th to early 20th centuries.
E297701 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 Spartanburg Historic District | Statement: [Spartanburg, South Carolina, hasHistoricDistrict, Downtown Spartanburg Historic District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Spartanburg Historic District
Context triple: [Spartanburg, South Carolina, hasHistoricDistrict, Downtown Spartanburg Historic District]
  • A. Greenville Historic District
    The Greenville Historic District is a nationally recognized historic area in Smithfield, Rhode Island, noted for its well-preserved 19th-century village center and architecture reflecting the community’s early commercial and residential development.
  • B. Clarksburg Downtown Historic District
    Clarksburg Downtown Historic District is a nationally recognized historic area in Clarksburg, West Virginia, known for its concentration of late 19th- and early 20th-century commercial and civic architecture.
  • C. Downtown Asheville Historic District
    Downtown Asheville Historic District is a central area of Asheville, North Carolina, known for its well-preserved early 20th-century architecture, cultural attractions, and vibrant urban streetscape.
  • D. Mount Pleasant Historic District
    Mount Pleasant Historic District is a preserved area in Mount Pleasant, South Carolina, known for its collection of historic homes, buildings, and streets that reflect the town’s coastal and architectural heritage.
  • E. Saxonburg Historic District
    Saxonburg Historic District is a preserved area in Saxonburg, Pennsylvania, known for its 19th-century architecture and representation of the town’s early German-American heritage.
  • 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 Spartanburg Historic District
Triple: [Spartanburg, South Carolina, hasHistoricDistrict, Downtown Spartanburg Historic District]
Generated description
Downtown Spartanburg Historic District is a central area of Spartanburg, South Carolina, known for its concentration of historically significant commercial and civic buildings that reflect the city’s development from the late 19th to early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Downtown Spartanburg Historic District
Target entity description: Downtown Spartanburg Historic District is a central area of Spartanburg, South Carolina, known for its concentration of historically significant commercial and civic buildings that reflect the city’s development from the late 19th to early 20th centuries.
  • A. Greenville Historic District
    The Greenville Historic District is a nationally recognized historic area in Smithfield, Rhode Island, noted for its well-preserved 19th-century village center and architecture reflecting the community’s early commercial and residential development.
  • B. Clarksburg Downtown Historic District
    Clarksburg Downtown Historic District is a nationally recognized historic area in Clarksburg, West Virginia, known for its concentration of late 19th- and early 20th-century commercial and civic architecture.
  • C. Downtown Asheville Historic District
    Downtown Asheville Historic District is a central area of Asheville, North Carolina, known for its well-preserved early 20th-century architecture, cultural attractions, and vibrant urban streetscape.
  • D. Mount Pleasant Historic District
    Mount Pleasant Historic District is a preserved area in Mount Pleasant, South Carolina, known for its collection of historic homes, buildings, and streets that reflect the town’s coastal and architectural heritage.
  • E. Saxonburg Historic District
    Saxonburg Historic District is a preserved area in Saxonburg, Pennsylvania, known for its 19th-century architecture and representation of the town’s early German-American heritage.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd9b88888190ab021afbaf3aa3c0 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05f4e7881908bf5b6f7df331041 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1d3bec0819087bb787b7f570ddc completed March 10, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69afc229caf88190a26959c27e6a1a9e completed March 10, 2026, 7:03 a.m.
Created at: March 6, 2026, 9:57 p.m.