Triple
T23892906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | communauté de communes de Parthenay-Gâtine |
E600822
|
entity |
| Predicate | chefLieu |
P133548
|
FINISHED |
| Object | Parthenay |
—
|
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: Parthenay | Statement: [communauté de communes de Parthenay-Gâtine, chefLieu, Parthenay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chefLieu Context triple: [communauté de communes de Parthenay-Gâtine, chefLieu, Parthenay]
-
A.
chef-lieu
chosen
Indicates that one place serves as the administrative capital or main seat of government for a specified territorial division.
-
B.
capitalOfCommune
Indicates that one place serves as the administrative capital or chief town of a given commune.
-
C.
cityDepicted
Indicates that a work (such as an image, artwork, or document) visually or representationally depicts a particular city.
-
D.
capitalOfArrondissement
Indicates that a place serves as the administrative capital (seat) of a specified arrondissement.
-
E.
cityLocatedIn
Indicates that a city is geographically situated within a specified larger administrative or territorial region.
- 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.