Triple
T6826272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Canaria Airport |
E157022
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Gran Canaria |
E33251
|
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: Gran Canaria | Statement: [Gran Canaria Airport, serves, Gran Canaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gran Canaria Context triple: [Gran Canaria Airport, serves, Gran Canaria]
-
A.
Gran Canaria
chosen
Gran Canaria is a major Spanish island in the Atlantic Ocean known for its diverse landscapes, popular beach resorts, and status as a key tourist destination in the Canary Islands.
-
B.
Tenerife
Tenerife is the largest and most populous of Spain’s Canary Islands, renowned for its volcanic landscapes, beaches, and the towering Mount Teide.
-
C.
La Gomera
La Gomera is a small, rugged volcanic island in Spain’s Canary Islands, known for its dramatic ravines, laurel forests, and traditional whistled language, Silbo Gomero.
-
D.
Fuerteventura
Fuerteventura is a major Canary Island known for its extensive sandy beaches, strong winds ideal for water sports, and arid volcanic landscapes.
-
E.
Lanzarote
Lanzarote is a Spanish volcanic island in the Atlantic Ocean known for its dramatic lava landscapes, year-round mild climate, and status as a popular tourist destination.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58375248190935dd38d618994e3 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eeb79b9c819084738c207aa5c62d |
completed | March 28, 2026, 3:07 p.m. |
Created at: March 27, 2026, 2:18 p.m.