Triple

T15407414
Position Surface form Disambiguated ID Type / Status
Subject Obi E368495 entity
Predicate subdivisionName P747 FINISHED
Object Obi E368495 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: Obi | Statement: [Obi, subdivisionName, Obi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obi
Context triple: [Obi, subdivisionName, Obi]
  • A. Obi
    Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
  • B. Obi chosen
    Obi is a local government area in Nasarawa State, Nigeria, serving as an administrative subdivision of the state.
  • C. Baiju
    Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
  • D. Obie
    Obie is a fictional character played by British actor Fisayo Akinade, best known from the Netflix series "Heartstopper."
  • E. Obie
    Obie is the nickname of Renaldo "Obie" Benson, the American soul and R&B singer best known as a member of the Four Tops.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135bcb5c8190a1f43c6bb6a0e53c completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.