Triple

T20600405
Position Surface form Disambiguated ID Type / Status
Subject Hidalgo E506161 entity
Predicate hasIndigenousLanguages P5562 FINISHED
Object Otomí 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: Otomí | Statement: [Hidalgo, hasIndigenousLanguages, Otomí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otomí
Context triple: [Hidalgo, hasIndigenousLanguages, Otomí]
  • A. Otomí chosen
    Otomí is an indigenous people of central Mexico whose Oto-Manguean language and rich cultural traditions have persisted since pre-Hispanic times.
  • B. Tato
    Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
  • C. Tato
    Tato is a Polish drama film best known for starring acclaimed actor Bogusław Linda as a father fighting for custody of his daughter.
  • D. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • E. Oton
    Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ef9ac8190b05e23c149529cb9 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.