Triple
T4430766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pic Saint-Loup AOC |
E95321
|
entity |
| Predicate | associatedCommunes |
P51099
|
FINISHED |
| Object | communes north of Montpellier |
—
|
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: communes north of Montpellier | Statement: [Pic Saint-Loup AOC, associatedCommunes, communes north of Montpellier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCommunes Context triple: [Pic Saint-Loup AOC, associatedCommunes, communes north of Montpellier]
-
A.
hasCommune
chosen
Indicates a relationship where an entity is associated with, belongs to, or is located within a specific commune (municipal administrative unit).
-
B.
belongsToIntercommunality
Indicates that an entity is a member of, or administratively attached to, a specific intercommunal structure or grouping.
-
C.
servesCommune
Indicates that an entity provides services or functions in support of a particular commune or local municipality.
-
D.
hasNeighboringFrenchCommune
Indicates that one commune is geographically adjacent to another commune located in France.
-
E.
associatedCommunity
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.