Triple
T15044801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dordogne department |
E379196
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Dordogne River |
E59810
|
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: Dordogne River | Statement: [Dordogne department, namedAfter, Dordogne River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dordogne River Context triple: [Dordogne department, namedAfter, Dordogne River]
-
A.
Dordogne River
chosen
The Dordogne River is a major river in south-central and southwestern France, renowned for its scenic valleys, historic towns, and role in the region’s cultural and natural heritage.
-
B.
Aveyron River
The Aveyron River is a waterway in southern France known for flowing through scenic gorges and historic towns before joining the Tarn River.
-
C.
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.
-
D.
Allier River
The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
-
E.
Sée River
The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31debb48190908d59178e67adb6 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3 a.m.