Triple

T15664348
Position Surface form Disambiguated ID Type / Status
Subject Bethany, Oklahoma E377148 entity
Predicate hasLocalGovernment P2820 FINISHED
Object City of Bethany E665637 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: City of Bethany | Statement: [Bethany, Oklahoma, hasLocalGovernment, City of Bethany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bethany
Context triple: [Bethany, Oklahoma, hasLocalGovernment, City of Bethany]
  • A. Pont Bethania
    Pont Bethania is a small bridge and popular starting point for hiking routes in Snowdonia, Wales, particularly for ascents of Snowdon via the Watkin Path.
  • B. Bethany
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • C. Bethany chosen
    Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
  • D. Bethany
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • E. Bethany
    Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679ff4648190a2f05d6445fa59df completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.