Triple

T17386598
Position Surface form Disambiguated ID Type / Status
Subject O’dam E422702 entity
Predicate hasAutonym P1435 FINISHED
Object O’dam 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: O’dam | Statement: [O’dam, hasAutonym, O’dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O’dam
Context triple: [O’dam, hasAutonym, O’dam]
  • A. O’dam chosen
    O’dam are an Indigenous people of northern Mexico, traditionally known as Tepehuan, with their own distinct language and cultural practices.
  • B. Odate
    Odate is a city in northern Japan known for its connection to the Akita dog breed and its surrounding mountainous, hot-spring-rich landscape.
  • C. Oan
    Oan was the Japanese era name (nengō) used during part of the Muromachi period under the rule of shogun Ashikaga Yoshimitsu.
  • D. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • E. Odomankoma
    Odomankoma is an epithet of the Akan supreme deity Nyame, emphasizing his role as the boundless, creative, and life-giving god.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8a93f48190a31f5cc58d950758 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.