Triple
T16165023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Noyon |
E392280
|
entity |
| Predicate | clergyRankOfOrdinary |
P5046
|
FINISHED |
| Object | bishop |
—
|
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: bishop | Statement: [Diocese of Noyon, clergyRankOfOrdinary, bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clergyRankOfOrdinary Context triple: [Diocese of Noyon, clergyRankOfOrdinary, bishop]
-
A.
ecclesiasticalRank
chosen
Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
-
B.
clergyOrder
Indicates that an individual belongs to, or is formally associated with, a specific religious clerical order or denomination.
-
C.
ecclesiasticalRole
Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation to another entity.
-
D.
subordinateClergy
Indicates that one clergy member holds a lower or subordinate ecclesiastical position in relation to another clergy member.
-
E.
ecclesialRole
Indicates that one entity holds or is assigned a specific role, office, or function within a church or ecclesiastical structure in relation to another 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.