Triple

T12099493
Position Surface form Disambiguated ID Type / Status
Subject Eti-Osa E288153 entity
Predicate containsArea P11790 FINISHED
Object Oniru E963352 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: Oniru | Statement: [Eti-Osa, containsArea, Oniru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oniru
Context triple: [Eti-Osa, containsArea, Oniru]
  • A. Oniru chosen
    Oniru is an upscale neighborhood in Lagos, Nigeria, known for its beaches, luxury residences, and proximity to Victoria Island and Lekki.
  • B. Onir
    Onir is an Indian film director, editor, and producer best known for his critically acclaimed independent films that often explore LGBTQ+ themes and social issues.
  • C. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • D. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • E. Orbiana
    Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7140c4819086a2dcb2cf334963 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.