Triple
T10934636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vexin Français Regional Natural Park |
E258297
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | La Roche-Guyon |
E326841
|
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: La Roche-Guyon | Statement: [Vexin Français Regional Natural Park, contains, La Roche-Guyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Roche-Guyon Context triple: [Vexin Français Regional Natural Park, contains, La Roche-Guyon]
-
A.
La Roche-Guyon
chosen
La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
-
B.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
-
C.
Marignier
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
D.
La Roche
La Roche is a shortened reference to the Swiss healthcare company F. Hoffmann-La Roche AG, a major global pharmaceutical and diagnostics firm.
-
E.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217666acc81909218b8d7695f3f72 |
completed | April 17, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:23 p.m.