Triple
T6826288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Canaria Airport |
E157022
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Telde |
E178887
|
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: Telde | Statement: [Gran Canaria Airport, locatedNear, Telde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telde Context triple: [Gran Canaria Airport, locatedNear, Telde]
-
A.
Telde
chosen
Telde is a historic city and municipality on the island of Gran Canaria in Spain’s Canary Islands, known for its archaeological sites, old town, and coastal areas.
-
B.
Landana
Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
-
C.
Toda
Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
-
D.
Terra do Sal
Terra do Sal is a nickname for Mossoró, a city in Brazil’s Rio Grande do Norte state known for its significant salt production.
-
E.
Telti
Telti is a small town and comune in the Gallura region of northeastern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
- 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_69c72fa6fc80819081f012ea2207c25a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.