Triple

T13427454
Position Surface form Disambiguated ID Type / Status
Subject Opata language E313517 entity
Predicate hasEndonym P1435 FINISHED
Object Eudeve E404994 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: Eudeve | Statement: [Opata language, hasEndonym, Eudeve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eudeve
Context triple: [Opata language, hasEndonym, Eudeve]
  • A. Eudeve chosen
    Eudeve is an extinct indigenous language once spoken by the Eudeve people of northern Mexico, belonging to the Southern Uto-Aztecan language family.
  • B. Devio
    Devio is a Biamp Systems product line of conferencing solutions designed to simplify high-quality audio and video collaboration in small meeting and huddle rooms.
  • C. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • D. Evarete
    Evarete is a figure in Greek mythology known primarily as the wife of King Oenomaus of Pisa and mother of his children.
  • E. Decaë
    Decaë is a French surname most notably borne by Henri Decaë, an influential 20th-century cinematographer associated with the French New Wave.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461f44b08190802290db7a4e6a5e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:40 p.m.