Triple
T9560724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corpus Christi College, Melbourne |
E230663
|
entity |
| Predicate | clericalFormation |
P75777
|
FINISHED |
| Object | diocesan priests |
—
|
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: diocesan priests | Statement: [Corpus Christi College, Melbourne, clericalFormation, diocesan priests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalFormation Context triple: [Corpus Christi College, Melbourne, clericalFormation, diocesan priests]
-
A.
officeFormation
Indicates the event or process by which an office or official position is created, established, or formally constituted.
-
B.
clericalBranchOf
Indicates that one entity functions as an administrative or clerical subdivision or office that is part of another, larger organizational entity.
-
C.
formsClergyFor
chosen
Indicates that one entity educates, trains, or prepares another entity to serve as clergy within a particular religious context.
-
D.
administrativeFormation
Indicates the process or event by which an administrative unit or jurisdiction is formally created, established, or constituted.
-
E.
hasClericalLanguage
Indicates that something is expressed using formal, religious, or church-related language or terminology.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994bde0c8190afcba5cb8fa8b984 |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.