Triple
T14660885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murcia–San Javier Airport |
E344232
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Costa Cálida |
E360074
|
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 Cálida | Statement: [Murcia–San Javier Airport, regionServed, Costa Cálida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa Cálida Context triple: [Murcia–San Javier Airport, regionServed, Costa Cálida]
-
A.
Costa Cálida
chosen
Costa Cálida is a popular coastal region in southeastern Spain known for its warm climate, sandy beaches, and seaside resorts along the Mediterranean.
-
B.
Costa Calma
Costa Calma is a popular seaside resort town on the south coast of Fuerteventura in Spain’s Canary Islands, known for its long sandy beaches and windsurfing conditions.
-
C.
Costa
Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
D.
Costa
Costa is a Chilean wine-producing subregion within the Cachapoal Valley, known for its coastal influence that shapes the style and character of its wines.
-
E.
Costa
Costa is the low-lying, tropical coastal region of Ecuador known for its beaches, port cities, and agricultural production.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51c84448190a1f5fa9ab8a1e2c4 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e28f848190a3d686bc11336601 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.