Triple
T23807528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Seminary of St. Peter |
E589748
|
entity |
| Predicate | acceptsCandidatesFrom |
P95320
|
FINISHED |
| Object | multiple countries |
—
|
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: multiple countries | Statement: [International Seminary of St. Peter, acceptsCandidatesFrom, multiple countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsCandidatesFrom Context triple: [International Seminary of St. Peter, acceptsCandidatesFrom, multiple countries]
-
A.
eligibleAppointees
Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
-
B.
admitsFrom
chosen
Indicates that one entity accepts or enrolls individuals coming from another specified source or institution.
-
C.
laterAccepts
Indicates that one entity accepts, approves, or agrees to something at a time subsequent to a referenced earlier point or event.
-
D.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
E.
targetCandidate
Indicates that an entity is being considered or designated as a potential target for selection, action, or further evaluation.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c752ff6481908cfc20d4f178d526 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:56 p.m.