Triple
T17915679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lot (river) |
E447919
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Truyère |
—
|
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: Truyère | Statement: [Lot (river), hasTributary, Truyère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truyère Context triple: [Lot (river), hasTributary, Truyère]
-
A.
Truyère
chosen
Truyère is a river in south-central France that flows through the Massif Central, known for its deep gorges and hydroelectric dams before joining the Lot River.
-
B.
Uzès
Uzès is a historic town in southern France’s Occitanie region, known for its well-preserved medieval architecture and proximity to the Pont du Gard.
-
C.
Vic-sur-Cère
Vic-sur-Cère is a small spa and holiday town in the Cantal department of south-central France, known for its scenic setting in the Auvergne volcanic region.
-
D.
Rochechouart
Rochechouart is a small historic town in west-central France known for its medieval château and proximity to the Rochechouart impact crater site.
-
E.
Ribérac
Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3054f048190a98a3b314cd82d5c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.