Triple

T6099585
Position Surface form Disambiguated ID Type / Status
Subject central Iraq E135959 entity
Predicate contains P35 FINISHED
Object Wasit Governorate E411027 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: Wasit Governorate | Statement: [central Iraq, contains, Wasit Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasit Governorate
Context triple: [central Iraq, contains, Wasit Governorate]
  • A. Wasit Governorate chosen
    Wasit Governorate is an administrative region in eastern Iraq known for its agricultural lands along the Tigris River and its capital city, Kut.
  • B. Hama Governorate
    Hama Governorate is an administrative region in west-central Syria known for its agricultural production and the historic city of Hama as its capital.
  • C. Afif Governorate
    Afif Governorate is an administrative region in central Saudi Arabia known for its desert landscapes and location within the broader Riyadh area.
  • D. Rimah Governorate
    Rimah Governorate is an administrative region in central Saudi Arabia situated within Riyadh Province, known for its desert landscapes and small towns.
  • E. Al-Hareeq Governorate
    Al-Hareeq Governorate is an administrative region in central Saudi Arabia known for its agricultural areas and traditional settlements within Riyadh Province.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3970808190ba90f5e4235db9f2 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c6a0fdc8190be37008d4f036e51 completed March 28, 2026, 9:16 a.m.
Created at: March 22, 2026, 4:13 p.m.