Triple

T303079
Position Surface form Disambiguated ID Type / Status
Subject Episcopal Theological Seminary in Haiti E6239 entity
Predicate typeOfTraining P10219 FINISHED
Object ordination-track clergy training 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: ordination-track clergy training | Statement: [Episcopal Theological Seminary in Haiti, typeOfTraining, ordination-track clergy training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfTraining
Context triple: [Episcopal Theological Seminary in Haiti, typeOfTraining, ordination-track clergy training]
  • A. typicalTraining chosen
    Indicates that an entity commonly undergoes or is associated with a standard or usual form of training in relation to another entity or context.
  • B. courseType
    Indicates the classification or category of a course based on its nature, level, or instructional format.
  • C. training
    Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
  • D. trainingInstitution
    Indicates that one entity serves as the institution or organization where another entity receives training or education.
  • E. trainingLevel
    Indicates the degree or stage of training or skill development that an entity has attained.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea2fba548190a5aeb1597dca96bd completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e93c367881908d3f6e2b81d44d7f completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.