Triple
T7389804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portbou |
E170470
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Costa Brava |
E223503
|
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: Costa Brava | Statement: [Portbou, locatedIn, Costa Brava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa Brava Context triple: [Portbou, locatedIn, Costa Brava]
-
A.
Costa Brava
chosen
Costa Brava is a rugged coastal region in northeastern Catalonia, Spain, famed for its picturesque beaches, coves, and seaside towns along the Mediterranean.
-
B.
Costa Blanca
Costa Blanca is a popular Mediterranean coastal region in Spain’s Alicante province, renowned for its sandy beaches, resort towns, and sunny climate.
-
C.
Basque Coast
The Basque Coast is a scenic stretch of northern Spain’s shoreline along the Bay of Biscay, known for its rugged cliffs, fishing villages, surfing beaches, and distinct Basque culture.
-
D.
Costa de la Luz
Costa de la Luz is a scenic stretch of Atlantic coastline in southwestern Spain known for its wide sandy beaches, dunes, and traditional Andalusian seaside towns.
-
E.
Terres de l’Ebre
Terres de l’Ebre is a southern Catalan region in Spain known for the Ebro River delta, rich wetlands, and distinctive agricultural and natural landscapes.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f512d881908056bdb88a58bea4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810ed3a00819088c6eee3d8b8a7e9 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.