Triple
T6516636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady Co-Redemptrix Seminary, Argentina |
E148279
|
entity |
| Predicate | clericalStatePreparedFor |
P59605
|
FINISHED |
| Object | Catholic priesthood |
—
|
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: Catholic priesthood | Statement: [Our Lady Co-Redemptrix Seminary, Argentina, clericalStatePreparedFor, Catholic priesthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalStatePreparedFor Context triple: [Our Lady Co-Redemptrix Seminary, Argentina, clericalStatePreparedFor, Catholic priesthood]
-
A.
preparedAt
Indicates the time or place at which something was prepared or made ready.
-
B.
preparedFor
chosen
Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another entity.
-
C.
preparesFor
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
D.
officeState
Indicates the current operational or functional status of an office (e.g., open, closed, active, inactive) at a given time.
-
E.
preambleStates
Indicates that a preamble explicitly declares or specifies certain statements, conditions, or principles.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.