Triple
T2708968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dordogne River |
E59810
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Cère River |
E348249
|
NE 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: Cère River | Statement: [Dordogne River, hasTributary, Cère River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cère River Context triple: [Dordogne River, hasTributary, Cère River]
-
A.
Sorgue River
The Sorgue River is a picturesque waterway in southeastern France, known for its clear springs, historic waterwheels, and scenic Provençal towns along its banks.
-
B.
Vézère River
The Vézère River is a tributary of the Dordogne in southwestern France, renowned for the prehistoric cave sites and rock shelters that line its valley.
-
C.
Cère
chosen
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
-
D.
Corrèze River
The Corrèze River is a watercourse in south-central France that flows through the Corrèze department, including the town of Tulle, before joining the Vézère River.
-
E.
Truyère River
The Truyère River is a major tributary of the Lot in southern France, known for its deep gorges, hydroelectric dams, and scenic course through the rugged landscapes of the Massif Central.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7542548190bbf6c947145f7f63 |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367e000dc8190baba64c6e8ccf308 |
completed | March 13, 2026, 1:26 a.m. |
Created at: March 6, 2026, 9:55 p.m.