Triple
T5821600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouilleron-en-Pareds |
E129120
|
entity |
| Predicate | hasGeographicalClassification |
P26631
|
FINISHED |
| Object | commune in Vendée |
—
|
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: commune in Vendée | Statement: [Mouilleron-en-Pareds, hasGeographicalClassification, commune in Vendée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicalClassification Context triple: [Mouilleron-en-Pareds, hasGeographicalClassification, commune in Vendée]
-
A.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
B.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
C.
regionClassification
chosen
Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
-
D.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
E.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.