Triple
T8919807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witney |
E212382
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Le Touquet-Paris-Plage |
E639623
|
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: Le Touquet-Paris-Plage | Statement: [Witney, hasTwinTown, Le Touquet-Paris-Plage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Touquet-Paris-Plage Context triple: [Witney, hasTwinTown, Le Touquet-Paris-Plage]
-
A.
Le Touquet
chosen
Le Touquet is a seaside resort town on France’s northern coast, known for its elegant villas, wide sandy beaches, and popularity with affluent holidaymakers.
-
B.
Berck-sur-Mer
Berck-sur-Mer is a seaside resort town in northern France known for its sandy beaches, coastal tourism, and traditional fishing heritage.
-
C.
Deauville
Deauville is a fashionable seaside resort town in Normandy, France, renowned for its beaches, grand casino, horse racing, and role as a luxury holiday destination.
-
D.
Bény-sur-Mer
Bény-sur-Mer is a small commune in the Calvados department of Normandy in northwestern France, near the historic D-Day landing beaches.
-
E.
Montreuil-sur-Mer
Montreuil-sur-Mer is a small historic town in northern France, notably serving as a key setting in Victor Hugo’s novel "Les Misérables."
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc664f099c8190be6d20a4574212ca |
completed | April 1, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba49d65c8190b9d9908822198cc0 |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:56 p.m.