Triple
T23547874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanoines réguliers |
E577954
|
entity |
| Predicate | structureCanonique |
P152753
|
FINISHED |
| Object | institut de vie consacrée |
—
|
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: institut de vie consacrée | Statement: [Chanoines réguliers, structureCanonique, institut de vie consacrée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureCanonique Context triple: [Chanoines réguliers, structureCanonique, institut de vie consacrée]
-
A.
isCanonicalFormOf
Indicates that one entity is the standard or officially accepted form or representation of another, often more variant, entity.
-
B.
structureFunction
Indicates that one entity’s physical or organizational structure serves a particular function or role in relation to another entity.
-
C.
standardFormulation
Indicates that something is expressed or represented in a conventional, officially accepted, or commonly used form or version.
-
D.
composéDe
Indicates that something is made up of, or consists of, one or more constituent parts.
-
E.
hasCanonicalOrderWithinOrganon
Indicates that one element occupies a specific, authoritative sequence position within the structured whole referred to as the Organon.
- F. None of above. chosen
Provenance (4 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecc2af08190aec07cf9126d4e72 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:11 p.m.