Triple

T15548807
Position Surface form Disambiguated ID Type / Status
Subject Bethany, Missouri E370683 entity
Predicate namedFor P63 FINISHED
Object Bethany (biblical town) E117423 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: Bethany (biblical town) | Statement: [Bethany, Missouri, namedFor, Bethany (biblical town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethany (biblical town)
Context triple: [Bethany, Missouri, namedFor, Bethany (biblical town)]
  • A. Bethany
    Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
  • B. Bethany chosen
    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
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • D. Bethany
    Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
  • E. Bethlehem of Galilee
    Bethlehem of Galilee is a village in northern Israel originally established as a German Templer agricultural colony in the late 19th century.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455dfbcc8190a93e90c59b2d3045 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.