Triple
T16996903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costières du Gard |
E412338
|
entity |
| Predicate | wineRegionTransition |
P126096
|
FINISHED |
| Object | between southern Rhône and Languedoc |
—
|
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: between southern Rhône and Languedoc | Statement: [Costières du Gard, wineRegionTransition, between southern Rhône and Languedoc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineRegionTransition Context triple: [Costières du Gard, wineRegionTransition, between southern Rhône and Languedoc]
-
A.
wineRegionGatewayTo
Indicates that one wine region serves as an entry point or primary access route to another wine region.
-
B.
wineRegionCategory
Indicates a classification relationship where a wine region is assigned to a specific category or type of wine-producing area.
-
C.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
D.
wineRegionStatus
Indicates the official classification or recognition status assigned to a wine-producing region.
-
E.
wineRegionRole
Indicates the specific role or function that a wine-producing region has in relation to wine production, classification, or designation.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d2885f888190ab1406f55a91bf93 |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.