Triple
T783466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of Orange (529) |
E16549
|
entity |
| Predicate | typeOfDocument |
P9497
|
FINISHED |
| Object | canons |
—
|
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: canons | Statement: [Council of Orange (529), typeOfDocument, canons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDocument Context triple: [Council of Orange (529), typeOfDocument, canons]
-
A.
documentTypeProduced
Indicates that one entity produces, generates, or creates a document of a specified type.
-
B.
draftType
Indicates the specific category or kind of draft associated with an entity or document (e.g., initial, revised, or final draft).
-
C.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
-
D.
documentNumber
Indicates the unique identifying number assigned to a specific document in the relationship.
-
E.
typeOfDocumentIssued
chosen
Indicates the specific kind or category of document that has been formally issued in a given context.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7686d0881908c2a4395059be02c |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50db97c8190a1c55673f4a357b4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.