Triple

T5256477
Position Surface form Disambiguated ID Type / Status
Subject Northern Tepehuán language E118711 entity
Predicate autonym P1435 FINISHED
Object O’dam E422702 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: O’dam | Statement: [Northern Tepehuán language, autonym, O’dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O’dam
Context triple: [Northern Tepehuán language, autonym, 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. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • C. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • D. Ochtum
    The Ochtum is a river in northwestern Germany that flows through Lower Saxony and Bremen before joining the Weser.
  • E. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba4ecd88190800b5e4eea3abed5 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7ded18819094f86cfff458953c completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.