Triple

T18981616
Position Surface form Disambiguated ID Type / Status
Subject Trinity University E464440 entity
Predicate formerLocation P1659 FINISHED
Object Waxahachie, 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: Waxahachie, Texas | Statement: [Trinity University, formerLocation, Waxahachie, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waxahachie, Texas
Context triple: [Trinity University, formerLocation, Waxahachie, Texas]
  • A. Waxahachie, Texas chosen
    Waxahachie, Texas is a historic North Texas city known for its Victorian architecture, annual Scarborough Renaissance Festival, and role as a regional cultural and economic center.
  • B. Whitehouse, Texas
    Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
  • C. East Tawakoni, Texas
    East Tawakoni, Texas is a small lakeside city in northeastern Texas situated on the shores of Lake Tawakoni.
  • D. Watauga, Texas
    Watauga, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known primarily as a residential community.
  • E. Wylie, Texas
    Wylie, Texas is a rapidly growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to major urban centers.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65d27548190b86d4c5f5b51d809 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.