Triple

T9492202
Position Surface form Disambiguated ID Type / Status
Subject Mexican conservative party E228917 entity
Predicate supportedChurchStateRelation P22562 FINISHED
Object strong ties between church and state 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: strong ties between church and state | Statement: [Mexican conservative party, supportedChurchStateRelation, strong ties between church and state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportedChurchStateRelation
Context triple: [Mexican conservative party, supportedChurchStateRelation, strong ties between church and state]
  • A. churchStateRelation chosen
    Indicates the nature or degree of interaction, separation, or influence between religious institutions and governmental authority.
  • B. associatedWithChurch
    Indicates a relationship in which an entity has a connection, involvement, or affiliation with a church.
  • C. isStateChurch
    Indicates that a church is officially recognized and established as the state’s or government’s official religion.
  • D. hasChurch
    Indicates that a place or entity possesses, contains, or is associated with a church.
  • E. supportedMinistryIn
    Indicates that an entity provided support to a ministry operating within a specified location or jurisdiction.
  • 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.