Triple
T23525632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Sebastián Airport |
E576423
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hondarribia |
—
|
NE NERFINISHED |
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: Hondarribia | Statement: [San Sebastián Airport, near, Hondarribia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hondarribia Context triple: [San Sebastián Airport, near, Hondarribia]
-
A.
Hondarribia
chosen
Hondarribia is a historic coastal town in Spain’s Basque Country, known for its well-preserved old quarter, fishing port, and location on the border with France.
-
B.
Zarautz
Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
-
C.
Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
-
D.
Santurtzi
Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
-
E.
Lazkao
Lazkao is a small town in the Goierri region of Gipuzkoa, in Spain’s Basque Country, known for its Basque cultural traditions and rural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac73be64819083e4a1c2c09551fb |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.