Triple

T20045881
Position Surface form Disambiguated ID Type / Status
Subject Ahrar al-Sham E497555 entity
Predicate activeIn P1560 FINISHED
Object Hama Governorate NE NERFINISHED

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: Hama Governorate | Statement: [Ahrar al-Sham, activeIn, Hama Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hama Governorate
Context triple: [Ahrar al-Sham, activeIn, Hama Governorate]
  • A. Hama Governorate chosen
    Hama Governorate is an administrative region in west-central Syria known for its agricultural production and the historic city of Hama as its capital.
  • B. Afif Governorate
    Afif Governorate is an administrative region in central Saudi Arabia known for its desert landscapes and location within the broader Riyadh area.
  • C. Wasit Governorate
    Wasit Governorate is an administrative region in eastern Iraq known for its agricultural lands along the Tigris River and its capital city, Kut.
  • D. Beheira Governorate
    Beheira Governorate is an administrative region in northern Egypt, situated in the Nile Delta and known for its agricultural productivity and Mediterranean coastline.
  • E. Sabya Governorate
    Sabya Governorate is an administrative division in Saudi Arabia’s Jizan Region, centered around the city of Sabya and known for its agricultural activity and growing urban population.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632a5e888190ade41657ffd057f6 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.