Triple

T32531387
Position Surface form Disambiguated ID Type / Status
Subject Santo Domingo del Estado E831463 entity
Predicate hasEducationalIssue P148777 FINISHED
Object risk of Trique language shift to Spanish 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: risk of Trique language shift to Spanish | Statement: [Santo Domingo del Estado, hasEducationalIssue, risk of Trique language shift to Spanish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalIssue
Context triple: [Santo Domingo del Estado, hasEducationalIssue, risk of Trique language shift to Spanish]
  • A. hasEducationIssues chosen
    Indicates that an entity experiences problems, challenges, or deficiencies related to its education or educational process.
  • B. hasEducationalSupportIn
    Indicates that an entity receives or is provided with educational support within a specified context, location, or setting.
  • C. educationIssue
    Indicates that there is a problem, challenge, or concern related to education affecting the entities involved.
  • D. hasEducationalStatus
    Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
  • E. educationLevelAtIssue
    Indicates that the relationship concerns the specific level of education being questioned, disputed, or otherwise central to a particular issue or context.
  • 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:01 a.m.