Triple
T7200268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oblates of the Institute of Christ the King Sovereign Priest |
E168720
|
entity |
| Predicate | hasVocationType |
P12782
|
FINISHED |
| Object | lay vocation |
—
|
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: lay vocation | Statement: [Oblates of the Institute of Christ the King Sovereign Priest, hasVocationType, lay vocation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVocationType Context triple: [Oblates of the Institute of Christ the King Sovereign Priest, hasVocationType, lay vocation]
-
A.
vocationType
chosen
Indicates the specific kind or category of occupation, profession, or calling associated with an entity.
-
B.
targetVocation
Indicates that an entity is the intended or designated profession, occupation, or calling for another entity.
-
C.
hasRecruitType
Indicates that an entity is associated with a specific type or category of recruitment.
-
D.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
E.
hasClergyType
Indicates the specific category or role of clergy associated with an 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92cc8ac8190a6448b79496a8249 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.