Triple

T13427434
Position Surface form Disambiguated ID Type / Status
Subject Opata language E313517 entity
Predicate glottologName P6521 FINISHED
Object Opata E388869 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: Opata | Statement: [Opata language, glottologName, Opata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opata
Context triple: [Opata language, glottologName, Opata]
  • A. Opata chosen
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • B. Upata
    Upata is a town in southeastern Venezuela known as an agricultural and commercial center within Bolívar State.
  • C. Pangallo
    Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
  • D. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • E. Montoro
    Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
  • 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_69f7398984f48190adaa1963d261d538 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.