Triple

T3077334
Position Surface form Disambiguated ID Type / Status
Subject Lagos State E64168 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Urhobo E274578 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: Urhobo | Statement: [Lagos State, hasEthnicGroup, Urhobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urhobo
Context triple: [Lagos State, hasEthnicGroup, Urhobo]
  • A. Urhobo chosen
    Urhobo is an ethnic group primarily located in the Niger Delta region of southern Nigeria, known for its rich cultural traditions, language, and festivals.
  • B. Oyo-Ile
    Oyo-Ile was the historic political and cultural center of the Oyo Empire, one of the most powerful precolonial Yoruba states in West Africa.
  • C. Ijeshaland
    Ijeshaland is a culturally rich Yoruba sub-region in southwestern Nigeria, traditionally inhabited by the Ijesha people and known for its distinct language dialect, festivals, and historical heritage.
  • D. Arugba
    Arugba is the virgin priestess who carries sacrificial offerings to the Osun River during the annual Osun-Osogbo Festival in Nigeria.
  • E. Ogoniland
    Ogoniland is an oil-rich coastal region in Nigeria’s Niger Delta, known for its Ogoni inhabitants and for severe environmental degradation linked to decades of petroleum extraction.
  • 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_69b2359ef3a88190a65f1f280d840bb0 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:02 p.m.