Triple

T5852089
Position Surface form Disambiguated ID Type / Status
Subject Murphy, Texas E130058 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: [Murphy, Texas, adjacentTo, Wylie, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wylie, Texas
Context triple: [Murphy, Texas, 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. Willis, Texas
    Willis, Texas is a small city in Montgomery County that serves as a northern suburban community within the Greater Houston metropolitan area.
  • C. Weatherford, Texas
    Weatherford, Texas is a historic North Texas city in the Dallas–Fort Worth metropolitan area known for its Western heritage, peach industry, and small-town charm.
  • D. Winnie, Texas
    Winnie, Texas is a small unincorporated community in southeastern Texas known for its rice farming, annual Rice Festival, and location near the Gulf Coast between Houston and Beaumont.
  • E. Wilmer, Texas
    Wilmer, Texas is a small city in Dallas County that forms part of the southern Dallas–Fort Worth metropolitan area.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355038008190bf38980349b533e2 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c787e303108190ab14b67c338b1377 completed March 28, 2026, 7:48 a.m.
Created at: March 22, 2026, 3:55 p.m.