Triple
T23892904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | communauté de communes de Parthenay-Gâtine |
E600822
|
entity |
| Predicate | situéeDansLeDépartement |
P153959
|
FINISHED |
| Object | Deux-Sèvres |
—
|
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: Deux-Sèvres | Statement: [communauté de communes de Parthenay-Gâtine, situéeDansLeDépartement, Deux-Sèvres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situéeDansLeDépartement Context triple: [communauté de communes de Parthenay-Gâtine, situéeDansLeDépartement, Deux-Sèvres]
-
A.
cityLocatedInDepartment
Indicates that a city is geographically and administratively situated within a specific department.
-
B.
prefectureOfDepartment
Indicates that a given prefecture administers or is the capital authority of a specified department.
-
C.
hasArrondissement
Indicates a relationship where an administrative unit or locality is associated with, or belongs to, a specific arrondissement.
-
D.
surroundingLakeLocatedInDepartment
Indicates that the administrative department is the territorial unit within which the surrounding lake is geographically located.
-
E.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
- 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_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. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:25 p.m.