Triple

T12272398
Position Surface form Disambiguated ID Type / Status
Subject Akoko-Edo E292501 entity
Predicate hasSettlement P1068 FINISHED
Object Igarra E977566 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: Igarra | Statement: [Akoko-Edo, hasSettlement, Igarra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igarra
Context triple: [Akoko-Edo, hasSettlement, Igarra]
  • A. Igarra chosen
    Igarra is a prominent town in Edo State, Nigeria, known as the traditional headquarters of the Etuno people and the administrative center of the Akoko-Edo Local Government Area.
  • B. Elorrio
    Elorrio is a historic town in northern Spain’s Basque Country, known for its well-preserved medieval center and traditional Basque architecture.
  • C. Ozurgeti
    Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
  • D. Arriaga
    Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
  • E. Alegría-Dulantzi
    Alegría-Dulantzi is a small municipality in the province of Álava in Spain’s Basque Country, known for its rural character and proximity to the regional capital Vitoria-Gasteiz.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cee7158819093fff74db6867896 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8afc2c8190af33f75356376977 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:52 p.m.