Triple

T3191288
Position Surface form Disambiguated ID Type / Status
Subject Lake Ray Hubbard E66828 entity
Predicate locatedNear P294 FINISHED
Object Heath, Texas E267162 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: Heath, Texas | Statement: [Lake Ray Hubbard, locatedNear, Heath, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heath, Texas
Context triple: [Lake Ray Hubbard, locatedNear, Heath, Texas]
  • A. Heath, Texas chosen
    Heath, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential communities and proximity to Lake Ray Hubbard.
  • B. Hewitt, Texas
    Hewitt, Texas is a suburban city in McLennan County, part of the Waco metropolitan area in central Texas.
  • C. Hurst, Texas
    Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
  • D. Hutchins, Texas
    Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
  • E. 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.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e7d0d081908b1c36bb909a58bf completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fadc46e8819095ebcb23e1da9947 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:07 p.m.