Triple
T23892905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | communauté de communes de Parthenay-Gâtine |
E600822
|
entity |
| Predicate | situéeDansLaRégion |
P64798
|
FINISHED |
| Object | Nouvelle-Aquitaine |
—
|
NE NERFINISHED |
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: Nouvelle-Aquitaine | Statement: [communauté de communes de Parthenay-Gâtine, situéeDansLaRégion, Nouvelle-Aquitaine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situéeDansLaRégion Context triple: [communauté de communes de Parthenay-Gâtine, situéeDansLaRégion, Nouvelle-Aquitaine]
-
A.
placeRegion
chosen
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
B.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
isProvinceOf
Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
-
E.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cd050db8819090aa268ba7e5eeed |
completed | April 29, 2026, 9:19 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.