Triple

T5378027
Position Surface form Disambiguated ID Type / Status
Subject Bedford, Texas E113008 entity
Predicate neighboringCity P988 FINISHED
Object Hurst, Texas E198376 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: Hurst, Texas | Statement: [Bedford, Texas, neighboringCity, Hurst, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurst, Texas
Context triple: [Bedford, Texas, neighboringCity, Hurst, Texas]
  • A. Hurst, Texas chosen
    Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
  • B. Hutchins, Texas
    Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
  • C. Hutto, Texas
    Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
  • D. Hainesville, Texas
    Hainesville, Texas is a small unincorporated rural community located in Wood County in East Texas.
  • E. Hawkins, Texas
    Hawkins, Texas is a small city in East Texas known as the "Pancake Capital of Texas" and as the home of Jarvis Christian University.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e3ff314c8190b66f8b0a7ae3c039 completed March 27, 2026, 8:09 p.m.
Created at: March 20, 2026, 2:03 p.m.