Triple

T21907885
Position Surface form Disambiguated ID Type / Status
Subject Downtown Carrollton historic district E540986 entity
Predicate locatedIn P40 FINISHED
Object Carrollton, Texas NE NERFINISHED

How this triple was built (2 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: Carrollton, Texas | Statement: [Downtown Carrollton historic district, locatedIn, Carrollton, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrollton, Texas
Context triple: [Downtown Carrollton historic district, locatedIn, Carrollton, Texas]
  • A. Carrollton
    Carrollton is a city in western Georgia that serves as a regional hub for education, commerce, and culture.
  • B. Carrollton chosen
    Carrollton is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities, business parks, and convenient access to major highways.
  • C. Carrollton
    Carrollton is a small city in southwestern Illinois known as a local hub for government, services, and agriculture in the surrounding rural region.
  • D. Newton, Texas
    Newton, Texas is a small city in eastern Texas that serves as the administrative and commercial hub of Newton County.
  • E. Springfield, Texas
    Springfield, Texas is a small unincorporated community in the United States, historically known as an early county seat that later declined and largely disappeared.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d806688190b23502aacbfde4bd completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:39 p.m.