Triple

T37124718
Position Surface form Disambiguated ID Type / Status
Subject Ayapa Zoque E919358 entity
Predicate hasStatusInMexico P43660 FINISHED
Object recognized indigenous language LITERAL 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: recognized indigenous language | Statement: [Ayapa Zoque, hasStatusInMexico, recognized indigenous language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStatusInMexico
Context triple: [Ayapa Zoque, hasStatusInMexico, recognized indigenous language]
  • A. statusInMexico chosen
    Indicates the legal or social status that an entity holds within the context of Mexico.
  • B. workStatusInMexico
    Indicates whether an entity is authorized to work or is currently working in Mexico.
  • C. statusInUnitedStates
    Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
  • D. stateOnMexicoSide
    Indicates that a state is located on the Mexican side of a shared border or boundary.
  • E. statusInSpain
    Indicates the legal, social, or official condition or standing that an entity has within the jurisdiction of Spain.
  • F. None of above.

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_69f76e9d13e48190a108f7fbf80ff375 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a00717f539c8190b70dd0e72c6f7d24 completed May 10, 2026, 11:52 a.m.
PD Predicate disambiguation batch_6a00710278fc81908889afdcf459ff01 completed May 10, 2026, 11:50 a.m.
Created at: May 3, 2026, 4:15 p.m.