Triple

T1469643
Position Surface form Disambiguated ID Type / Status
Subject Rowlett E27104 entity
Predicate adjacentTo P224 FINISHED
Object Wylie, Texas E127615 NE FINISHED

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: Wylie, Texas | Statement: [Rowlett, adjacentTo, Wylie, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wylie, Texas
Context triple: [Rowlett, adjacentTo, Wylie, Texas]
  • A. Wylie, Texas chosen
    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.
  • B. Wilmer, Texas
    Wilmer, Texas is a small city in Dallas County that forms part of the southern Dallas–Fort Worth metropolitan area.
  • C. Waxahachie, Texas
    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.
  • D. Van Alstyne, Texas
    Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
  • E. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d8bb68819095b7b413247ad657 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f0a6f588190a8a61ab47a858118 completed March 12, 2026, 12:55 a.m.
Created at: March 1, 2026, 8:01 p.m.