Triple

T19613949
Position Surface form Disambiguated ID Type / Status
Subject Nembe Council of Chiefs E470807 entity
Predicate languageContext P36 FINISHED
Object Ijaw 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: Ijaw | Statement: [Nembe Council of Chiefs, languageContext, Ijaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ijaw
Context triple: [Nembe Council of Chiefs, languageContext, Ijaw]
  • A. Ijaw chosen
    The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
  • B. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • C. Ondo
    Ondo is a historic Yoruba town in southwestern Nigeria known for its traditional monarchy, cultural heritage, and role as a regional commercial center.
  • D. Owode
    Owode is a significant town within the Ado-Odo/Ota local government area of Ogun State in southwestern Nigeria.
  • E. Igbesa
    Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640ce272481909688527f72d2c976 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.