Triple
T23547882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanoines réguliers |
E577954
|
entity |
| Predicate | distinctionDe |
P3450
|
FINISHED |
| Object | chanoines séculiers |
—
|
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: chanoines séculiers | Statement: [Chanoines réguliers, distinctionDe, chanoines séculiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionDe Context triple: [Chanoines réguliers, distinctionDe, chanoines séculiers]
-
A.
distinction
chosen
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
B.
distinctionFormulatedBy
Indicates that a particular conceptual or categorical distinction was defined, articulated, or formally introduced by a specific agent or source.
-
C.
introducesDistinction
Indicates that one entity establishes or makes clear a conceptual or categorical difference between two or more entities or ideas.
-
D.
aimsToDistinguish
Indicates an intention or effort by one entity to set itself or something else apart from others by highlighting differences or unique characteristics.
-
E.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
- 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_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. |
Created at: April 17, 2026, 6:11 p.m.