Triple

T36878235
Position Surface form Disambiguated ID Type / Status
Subject Chicxulbeño E911401 entity
Predicate stateOfAssociatedPlace P88409 FINISHED
Object Yucatán 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: Yucatán | Statement: [Chicxulbeño, stateOfAssociatedPlace, Yucatán]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateOfAssociatedPlace
Context triple: [Chicxulbeño, stateOfAssociatedPlace, Yucatán]
  • A. positionAssociatedWith
    Indicates a relationship where a specific role, job, or position is linked or connected to a particular entity, context, or resource.
  • B. associatedProvinceOrState chosen
    Indicates that one entity is linked or related to a specific province or state as its relevant administrative region.
  • C. regionallyAssociatedWith
    Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
  • D. governingStateAssociation
    Indicates a relationship where one entity serves as the governing state or authority responsible for overseeing, regulating, or administering another entity.
  • E. associatedState
    Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
  • 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fee335cb08819097e3a0e09d5ebf49 completed May 9, 2026, 7:33 a.m.
PD Predicate disambiguation batch_69fee2c74fd88190acfc045ab07b7f6b completed May 9, 2026, 7:31 a.m.
Created at: May 3, 2026, 4:13 p.m.