Triple
T22673003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basauri Theater School |
E560270
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Basauri |
—
|
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: Basauri | Statement: [Basauri Theater School, hasCampus, Basauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basauri Context triple: [Basauri Theater School, hasCampus, Basauri]
-
A.
Basauri
chosen
Basauri is a town and municipality in the province of Biscay in Spain’s Basque Country, forming part of the Greater Bilbao metropolitan area.
-
B.
Bagergue
Bagergue is a small picturesque village in the Val d'Aran region of Catalonia, Spain, known for its traditional stone architecture and mountain scenery.
-
C.
Aranguren
Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
-
D.
Urrugne
Urrugne is a commune in the Pyrénées-Atlantiques department of southwestern France, located in the Basque Country near the Atlantic coast and the Spanish border.
-
E.
Elorza
Elorza is a town in the Venezuelan state of Apure known for its llanero culture and traditional folk celebrations.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.