Triple

T5587724
Position Surface form Disambiguated ID Type / Status
Subject Cochimí language E146795 entity
Predicate hasAlternateName P39 FINISHED
Object Cochimí E372429 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: Cochimí | Statement: [Cochimí language, hasAlternateName, Cochimí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cochimí
Context triple: [Cochimí language, hasAlternateName, Cochimí]
  • A. Cochimí chosen
    Cochimí were an Indigenous people of the Baja California Peninsula in Mexico, known for their distinct language and traditional hunter-gatherer lifestyle.
  • B. Tepehuan
    The Tepehuan are an Indigenous people of northern Mexico, known for their distinct Uto-Aztecan language, traditional agriculture, and communities in the Sierra Madre Occidental.
  • C. Macuspana
    Macuspana is a significant urban center and municipality in the Mexican state of Tabasco, known for its role in the region’s political and economic life.
  • D. Pipilo
    Pipilo is a genus of New World sparrows known as towhees, medium-sized ground-feeding birds typically found in brushy or shrubby habitats.
  • E. Choachí
    Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209e892c8190b936a05ef2a14d36 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d2f8710819094f5d052b767b9a6 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:38 p.m.