Triple
T12675914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarn Gorges |
E302810
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Les Vignes |
E985149
|
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: Les Vignes | Statement: [Tarn Gorges, near, Les Vignes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Vignes Context triple: [Tarn Gorges, near, Les Vignes]
-
A.
Les Vignes
chosen
Les Vignes is a small village in southern France situated along the Tarn River, known as a gateway to the scenic Gorges du Tarn.
-
B.
Place aux Herbes
Place aux Herbes is the central, tree-lined market square of Uzès in southern France, known for its arcaded buildings, cafés, and lively weekly markets.
-
C.
La Maison du Vin
La Maison du Vin is a wine-focused retail shop located in the France Pavilion at EPCOT in Walt Disney World, offering a curated selection of French wines and related products.
-
D.
Les Oliviers
Les Oliviers is a painting by Vincent van Gogh depicting a grove of olive trees rendered in his distinctive, expressive Post-Impressionist style.
-
E.
Les Vieux
"Les Vieux" is a poignant chanson by Belgian singer-songwriter Jacques Brel that reflects on the loneliness and quiet decline of old age.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a163188190b6077c77f9a81681 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:20 p.m.