Triple
T38587162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of Light |
E932370
|
entity |
| Predicate | notableClassTrainers |
P195988
|
FINISHED |
| Object | Priest trainers |
—
|
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: Priest trainers | Statement: [Cathedral of Light, notableClassTrainers, Priest trainers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableClassTrainers Context triple: [Cathedral of Light, notableClassTrainers, Priest trainers]
-
A.
notableTrainerRelationship
Indicates a significant trainer–trainee relationship exists between the entities, such as one having notably trained, coached, or mentored the other.
-
B.
alsoTrains
Indicates that an entity, in addition to its primary role or activity, is involved in training another entity.
-
C.
notableCoach
Indicates that one entity is a coach who is widely recognized or distinguished in relation to the other entity.
-
D.
notableClass
Indicates that an entity belongs to a particularly important, distinguished, or otherwise noteworthy class or category within a given classification system.
-
E.
hasClassTrainersFor
chosen
Indicates that an entity provides or is associated with trainers responsible for conducting or leading a particular class.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.