Triple

T3734752
Position Surface form Disambiguated ID Type / Status
Subject Catholic universities E79153 entity
Predicate oftenGovernedBy P33148 FINISHED
Object religious orders 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: religious orders | Statement: [Catholic universities, oftenGovernedBy, religious orders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenGovernedBy
Context triple: [Catholic universities, oftenGovernedBy, religious orders]
  • A. governedInPartBy chosen
    Indicates that something is subject to the authority, control, or influence of a governing entity, but only to a limited or partial extent rather than fully.
  • B. governedThrough
    Indicates that one entity exercises control, authority, or administration over another entity by means of a specified intermediary mechanism, structure, or process.
  • C. governedWith
    Indicates that two or more entities share or participate together in the act or process of governing.
  • D. oftenHeldToBe
    Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
  • E. followsPolityOf
    Indicates that one entity adopts, adheres to, or operates under the political system, governance model, or policy framework established by 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb39dc0881909cd74ff25d8c43a9 completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc04746588190b0dc535638f23546 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.