Triple

T7353238
Position Surface form Disambiguated ID Type / Status
Subject Valle del Mezquital E169557 entity
Predicate hasIndigenousPeople P194 FINISHED
Object Otomí E141974 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: Otomí | Statement: [Valle del Mezquital, hasIndigenousPeople, Otomí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otomí
Context triple: [Valle del Mezquital, hasIndigenousPeople, Otomí]
  • A. 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.
  • B. Oton
    Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
  • C. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • D. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • E. Otomi chosen
    Otomi is an indigenous Oto-Manguean language spoken by the Otomi people across several states in central Mexico.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10d3ef88190b3a0763d80b1e726 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa9dfbac8190993c866cda169633 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.