Triple
T19339259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Languedoc coast |
E483706
|
entity |
| Predicate | hasResort |
P4287
|
FINISHED |
| Object | Valras-Plage |
—
|
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: Valras-Plage | Statement: [Languedoc coast, hasResort, Valras-Plage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valras-Plage Context triple: [Languedoc coast, hasResort, Valras-Plage]
-
A.
Valras-Plage
chosen
Valras-Plage is a seaside resort town on France’s Mediterranean coast, known for its sandy beaches and tourism.
-
B.
Rivedoux-Plage
Rivedoux-Plage is a seaside village and resort on the eastern tip of the Île de Ré on France’s Atlantic coast, known for its beaches and oyster farming.
-
C.
Carnac-Plage
Carnac-Plage is a seaside resort area on the southern coast of Brittany, France, known for its sandy beaches, sailing, and proximity to the famous Carnac megalithic alignments.
-
D.
Hardelot-Plage
Hardelot-Plage is a seaside resort town in northern France known for its sandy beaches, dunes, and golf courses along the English Channel.
-
E.
Vias-Plage
Vias-Plage is a popular seaside resort area on the Mediterranean coast of southern France, known for its sandy beaches and family-friendly holiday atmosphere.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618560f0081908565f802ea1e3cc8 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.