Triple
T13496508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Décret n° 2014-168 du 17 février 2014 |
E320774
|
entity |
| Predicate | objet |
P110638
|
FINISHED |
| Object | redéfinition de la délimitation de plusieurs cantons |
—
|
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: redéfinition de la délimitation de plusieurs cantons | Statement: [Décret n° 2014-168 du 17 février 2014, objet, redéfinition de la délimitation de plusieurs cantons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objet Context triple: [Décret n° 2014-168 du 17 février 2014, objet, redéfinition de la délimitation de plusieurs cantons]
-
A.
notableObject
Indicates that an entity is especially significant, famous, or noteworthy as an object in a given context or domain.
-
B.
objectOfVerb
Indicates that one entity serves as the direct object or recipient of the action expressed by a given verb in a clause.
-
C.
usesObjective
Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
-
D.
fictionalObject
Indicates that one entity is a fictional or imaginary object in relation to another entity.
-
E.
artifact
Indicates that one entity is an artifact created, modified, or used by another entity.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4e9ca4819083116890a65389f9 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.