Triple
T29966086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Floc de Gascogne |
E761185
|
entity |
| Predicate | originRegionType |
P410
|
FINISHED |
| Object | Southwest France |
—
|
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: Southwest France | Statement: [Floc de Gascogne, originRegionType, Southwest France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originRegionType Context triple: [Floc de Gascogne, originRegionType, Southwest France]
-
A.
sourceRegion
chosen
Indicates the geographic or spatial region from which something originates or is derived.
-
B.
administrativeRegionOfOrigin
Indicates the administrative region (such as a state, province, or similar division) from which an entity originates or is associated by origin.
-
C.
originSubregion
Indicates the specific subregional area from which an entity originates or is derived.
-
D.
characterOriginRegion
Indicates the geographical region from which a character originally comes.
-
E.
originalPlatformRegion
Indicates the geographic region or market in which a platform was originally launched or made available.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 29, 2026, 6:30 p.m.