Triple

T5907387
Position Surface form Disambiguated ID Type / Status
Subject Taysir Abu Sneineh E131372 entity
Predicate residence P75 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: [Taysir Abu Sneineh, residence, Hebron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebron
Context triple: [Taysir Abu Sneineh, residence, Hebron]
  • A. 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.
  • B. Hebron
    Hebron is a small New England town in central Connecticut known for its rural character, historic charm, and annual agricultural fair.
  • 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. 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.
  • E. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03772d9dc8190899fe49ef887e685 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124fda1848190894b51d45f2b0a7a completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 3:59 p.m.