Triple

T19977984
Position Surface form Disambiguated ID Type / Status
Subject Gulfton E493739 entity
Predicate adjacentTo P224 FINISHED
Object Bellaire NE NERFINISHED

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: [Gulfton, adjacentTo, Bellaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellaire
Context triple: [Gulfton, adjacentTo, Bellaire]
  • A. Bellaire
    Bellaire is a small village in northern Michigan that serves as the administrative and commercial hub of Antrim County.
  • B. Bellaire
    Bellaire is a residential neighborhood within the Queens Village area of Queens, New York City.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d11108481908241a2a96a795a7d completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:27 p.m.