Triple

T14042417
Position Surface form Disambiguated ID Type / Status
Subject Genesis 37 E337878 entity
Predicate setting P1957 FINISHED
Object Hebron E21854 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: Hebron | Statement: [Genesis 37, setting, Hebron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebron
Context triple: [Genesis 37, setting, Hebron]
  • A. Hebron
    Hebron is a small New England town in central Connecticut known for its rural character, historic charm, and annual agricultural fair.
  • B. Hebron chosen
    Hebron is one of the oldest continuously inhabited cities in the world, a major historic and religious center in the southern West Bank revered in Judaism, Islam, and Christianity.
  • C. Hebron
    Hebron is a major offshore oil field located off the coast of Newfoundland and Labrador, Canada, known for its heavy crude oil production.
  • D. Hebron village
    Hebron village is a small rural community that serves as the central settlement within the town of Hebron in Oxford County, Maine.
  • E. al-Bireh
    al-Bireh is a Palestinian city in the central West Bank that forms a twin urban center with nearby Ramallah and serves as an important administrative and commercial hub.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15cbbb0819099b84032d65cfdb0 completed May 8, 2026, 1:13 p.m.
Created at: April 9, 2026, 10:20 p.m.