Triple

T14207397
Position Surface form Disambiguated ID Type / Status
Subject North Gaza Governorate E352132 entity
Predicate capital P234 FINISHED
Object Beit Lahia E352133 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: Beit Lahia | Statement: [North Gaza Governorate, capital, Beit Lahia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beit Lahia
Context triple: [North Gaza Governorate, capital, Beit Lahia]
  • A. Beit Lahia chosen
    Beit Lahia is a town in the northern Gaza Strip known for its agricultural lands and proximity to several major refugee camps.
  • B. Kfar Tibnit
    Kfar Tibnit is a village located in southern Lebanon’s Nabatieh Governorate, known for its rural character and proximity to the city of Nabatieh.
  • C. Kfar Roummane
    Kfar Roummane is a village located in southern Lebanon’s Nabatieh Governorate, known for its rural character and proximity to the town of Nabatieh.
  • D. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • E. Qalqilya
    Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e68118819082448393cc141d96 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:05 a.m.