Triple
T20366152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villefranche-de-Conflent |
E496913
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Têt River |
—
|
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: Têt River | Statement: [Villefranche-de-Conflent, traversedBy, Têt River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Têt River Context triple: [Villefranche-de-Conflent, traversedBy, Têt River]
-
A.
Têt River
chosen
The Têt River is a coastal river in southern France that flows through the Pyrénées-Orientales department before emptying into the Mediterranean Sea.
-
B.
Célé River
The Célé River is a scenic tributary of the Lot in southwestern France, known for flowing through limestone gorges and past prehistoric cave sites such as Pech Merle.
-
C.
Aure River
The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
-
D.
Cèze River
The Cèze River is a tributary of the Rhône in southern France, known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
-
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 (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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67871bfdc8190948c46497cd675c9 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.