Triple

T23105829
Position Surface form Disambiguated ID Type / Status
Subject Texas State Highway 342 E576158 entity
Predicate serves P98 FINISHED
Object city of Lancaster, 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: city of Lancaster, Texas | Statement: [Texas State Highway 342, serves, city of Lancaster, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Lancaster, Texas
Context triple: [Texas State Highway 342, serves, city of Lancaster, Texas]
  • A. Lancaster, Texas chosen
    Lancaster, Texas is a suburban city in Dallas County that forms part of the Dallas–Fort Worth metropolitan area.
  • B. Lanham, Texas
    Lanham, Texas is a small unincorporated rural community located in Hamilton County in central Texas.
  • C. City of Corsicana, Texas
    The City of Corsicana, Texas, is a historic North Texas community known for its early oil boom, regional commerce, and role as the county seat of Navarro County.
  • D. Lafayette, Texas
    Lafayette, Texas is a small unincorporated rural community located in Camp County in northeastern Texas.
  • E. Livingston, Texas
    Livingston, Texas is a small East Texas town that serves as a regional hub for government, commerce, and outdoor recreation near Lake Livingston.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0ad44c81908e1873d4b3860323 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.