Triple

T9948238
Position Surface form Disambiguated ID Type / Status
Subject Pame E195259 entity
Predicate hasLinguisticRelation P10003 FINISHED
Object Matlatzinca E148187 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: Matlatzinca | Statement: [Pame, hasLinguisticRelation, Matlatzinca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matlatzinca
Context triple: [Pame, hasLinguisticRelation, Matlatzinca]
  • A. Matlatzinca chosen
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • B. Mexticacán
    Mexticacán is a small municipality and town in the Los Altos region of the state of Jalisco, Mexico, known for its rural character and traditional Mexican culture.
  • C. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
  • D. Coixtlahuaca
    Coixtlahuaca was an important pre-Columbian city in present-day Oaxaca, Mexico, serving as a key political and cultural hub in the Mixtec region.
  • E. Metztitlán
    Metztitlán is a town and municipality in the state of Hidalgo, Mexico, known for its dramatic canyon landscapes, rich biodiversity, and the nearby Metztitlán Biosphere Reserve.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb659307c81908279adb641ceef86 completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2292b50a881909ff868487639fbfd completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:45 p.m.