Triple
T9649384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap de Creus |
E233293
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Cadaqués |
E231249
|
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: Cadaqués | Statement: [Cap de Creus, near, Cadaqués]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cadaqués Context triple: [Cap de Creus, near, Cadaqués]
-
A.
Cadaqués
chosen
Cadaqués is a picturesque coastal town on Spain’s Costa Brava, renowned for its whitewashed houses, rocky coves, and association with artist Salvador Dalí.
-
B.
Peñíscola
Peñíscola is a historic fortified coastal town in eastern Spain, renowned for its medieval castle overlooking the Mediterranean Sea.
-
C.
Olot
Olot is a town in Catalonia, Spain, known for its volcanic landscape within the Garrotxa Volcanic Zone Natural Park and its rich artistic and architectural heritage.
-
D.
Deià
Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
-
E.
Lloret de Mar
Lloret de Mar is a popular Mediterranean coastal resort town on Spain’s Costa Brava, known for its beaches, nightlife, and tourism.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9badd630819087fd844d7878ec61 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6525a4af08190bcd8455e95a2f3ae |
completed | April 8, 2026, 1:04 p.m. |
Created at: March 30, 2026, 8:13 p.m.