Triple
T16314698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice metropolitan area |
E396143
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cap-d’Ail |
E363496
|
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: Cap-d’Ail | Statement: [Nice metropolitan area, contains, Cap-d’Ail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cap-d’Ail Context triple: [Nice metropolitan area, contains, Cap-d’Ail]
-
A.
Cap-d’Ail
chosen
Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
-
B.
Le Claux
Le Claux is a small mountain village in the Cantal department of south-central France, situated in the volcanic Massif Central.
-
C.
Eperlecques
Eperlecques is a commune in northern France best known for the nearby World War II V-2 rocket bunker known as the Blockhaus d'Éperlecques.
-
D.
Cap Fréhel
Cap Fréhel is a dramatic sandstone headland on the northern coast of Brittany in France, renowned for its towering cliffs, coastal heathland, and seabird colonies overlooking the English Channel.
-
E.
Berre-l’Étang
Berre-l’Étang is a commune in southern France’s Bouches-du-Rhône department, situated on the shores of the Étang de Berre and known for its industrial facilities and proximity to Marseille.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da444408190b770055d84060f4d |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.