Triple

T3276607
Position Surface form Disambiguated ID Type / Status
Subject Kut E68772 entity
Predicate locatedIn P40 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: [Kut, locatedIn, Wasit Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasit Governorate
Context triple: [Kut, locatedIn, 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. 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. Rimah Governorate
    Rimah Governorate is an administrative region in central Saudi Arabia situated within Riyadh Province, known for its desert landscapes and small towns.
  • D. 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.
  • E. Rafha Governorate
    Rafha Governorate is an administrative division in northern Saudi Arabia centered on the town of Rafha near the Iraqi border.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f580e2488190bce70398502e11d4 completed March 14, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:10 p.m.