Triple

T9492220
Position Surface form Disambiguated ID Type / Status
Subject Mexican conservative party E228917 entity
Predicate supportedEducationPolicy P1086 FINISHED
Object church control over education 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: church control over education | Statement: [Mexican conservative party, supportedEducationPolicy, church control over education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportedEducationPolicy
Context triple: [Mexican conservative party, supportedEducationPolicy, church control over education]
  • A. hasEducationalSupportFrom
    Indicates that one entity receives educational assistance, guidance, or resources from another entity.
  • B. supportsPolicy chosen
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • C. educationPolicy
    Indicates a relationship where an authority or entity establishes, governs, or influences rules, strategies, or frameworks guiding an education system or educational practices.
  • D. supportsLevelOfStudy
    Indicates that one entity provides or is compatible with a specified level of academic or educational study for another entity.
  • E. requiresEducationIn
    Indicates that one entity necessitates that another entity possess education or formal training in a specified field or discipline.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80ca26bc819084add20027aea4a5 completed April 1, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69cca5651a588190a3cfebe249a223e5 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:56 p.m.