Triple
T3844775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lozère |
E93541
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Truyère valley |
E265434
|
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: Truyère valley | Statement: [Lozère, contains, Truyère valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truyère valley Context triple: [Lozère, contains, Truyère valley]
-
A.
Vézère Valley
The Vézère Valley is a region in southwestern France renowned for its exceptionally rich concentration of prehistoric cave art and archaeological sites, including the famous Lascaux Cave.
-
B.
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.
-
C.
Giffre valley
Giffre valley is a scenic alpine valley in the French Alps known for its dramatic limestone cliffs, waterfalls, and traditional mountain villages.
-
D.
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.
-
E.
Truyère gorge
chosen
Truyère gorge is a deep, scenic river canyon in southern France known for its dramatic landscapes and engineering landmarks such as the Garabit Viaduct.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb655c081909ec5ff3d09eb4778 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5337284608190af9c288033d5ce23 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:18 p.m.