Triple
T7412502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarascon-sur-Ariège |
E171043
|
entity |
| Predicate | riverValley |
P165
|
FINISHED |
| Object | Ariège valley |
E75206
|
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: Ariège valley | Statement: [Tarascon-sur-Ariège, riverValley, Ariège valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariège valley Context triple: [Tarascon-sur-Ariège, riverValley, Ariège valley]
-
A.
Val d’Ain
Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
-
B.
Ariège
chosen
Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
-
C.
Ariège
Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
-
D.
Hérault valley
The Hérault valley is a scenic river valley in southern France known for its dramatic gorges, limestone caves, vineyards, and picturesque medieval villages.
-
E.
Vallée de l’Agly
Vallée de l’Agly is a wine-producing area in Roussillon, southern France, known for its rugged terrain and diverse terroirs that yield distinctive red, white, and fortified wines.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83440200081909cf0c747697d644a |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:11 p.m.