Triple

T3077332
Position Surface form Disambiguated ID Type / Status
Subject Lagos State E64168 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Ijaw E14285 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: Ijaw | Statement: [Lagos State, hasEthnicGroup, Ijaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ijaw
Context triple: [Lagos State, hasEthnicGroup, 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. Auchi
    Auchi is a prominent town in southern Nigeria known as a commercial and educational hub within Edo State.
  • D. Ilesa
    Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
  • E. Osogbo
    Osogbo is a major city in southwestern Nigeria known for its rich Yoruba cultural heritage and the UNESCO-listed Osun-Osogbo Sacred Grove.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a6f6148190ae5cd6e45eda9006 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224bbc4088190bdbb0a214b512944 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:02 p.m.