Triple
T19655293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autovía A-1 |
E471922
|
entity |
| Predicate | terminusB |
P388
|
FINISHED |
| Object | Irun |
—
|
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: Irun | Statement: [Autovía A-1, terminusB, Irun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irun Context triple: [Autovía A-1, terminusB, Irun]
-
A.
Irun
chosen
Irun is a Spanish border town in the Basque Country, strategically located near France and historically significant as a key crossing and diplomatic site between the two countries.
-
B.
Santurtzi
Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
-
C.
Pasaia
Pasaia is a coastal town and important port in the province of Gipuzkoa in Spain’s Basque Country, situated along a natural bay on the Bay of Biscay.
-
D.
Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
-
E.
Busturia
Busturia is a small municipality in the Biscay province of Spain’s Basque Country, known for its coastal setting within the Urdaibai Biosphere Reserve.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641452ac481908d5493506ee96516 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.