Triple

T10842752
Position Surface form Disambiguated ID Type / Status
Subject TX-07 E255929 entity
Predicate hasCity P316 FINISHED
Object Bellaire E312202 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: Bellaire | Statement: [TX-07, hasCity, Bellaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellaire
Context triple: [TX-07, hasCity, Bellaire]
  • A. Bellaire, Texas chosen
    Bellaire, Texas is an independent city within the Houston metropolitan area known for its residential neighborhoods, strong public schools, and proximity to major employment centers.
  • B. Bellaire, Ohio
    Bellaire, Ohio is a historic village along the Ohio River known for its glass manufacturing heritage and role as a regional industrial and transportation hub.
  • C. Kingwood, Houston
    Kingwood, Houston is a large master-planned community in northeast Houston, Texas, known for its extensive greenbelt trails, suburban character, and family-oriented neighborhoods.
  • D. Jefferson Hills
    Jefferson Hills is a suburban borough in Allegheny County, Pennsylvania, located in the South Hills region near Pittsburgh.
  • E. Summerston
    Summerston is a residential suburb in the north-west of Glasgow, Scotland, known for its housing estates, local amenities, and proximity to open green spaces.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750ce40108190895c477553195fe4 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb153de988190bd48f1c1980d7ca2 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.