Triple
T9108466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euskaltzaindia |
E218535
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Bizkaia |
E627048
|
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: Bizkaia | Statement: [Euskaltzaindia, headquartersLocation, Bizkaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bizkaia Context triple: [Euskaltzaindia, headquartersLocation, Bizkaia]
-
A.
Bizkaia
chosen
Bizkaia is a province in northern Spain within the Basque Country, known for its capital Bilbao and strong Basque cultural identity.
-
B.
Gipuzkoa
Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
-
C.
Zuberoa
Zuberoa is the Basque-language name for Soule, a small historical and cultural province of the Basque Country located in the French Pyrenees.
-
D.
Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
-
E.
Navarre
Navarre is a coastal community in northwest Florida known for its white-sand beaches and family-friendly atmosphere along the Gulf of Mexico.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca57543448190829853c31e05dd8c |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b66432081908f557fba2cbf2f6d |
completed | April 4, 2026, 5:02 a.m. |
Created at: March 30, 2026, 7:16 p.m.