Triple
T34593670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasteiz |
E888252
|
entity |
| Predicate | isBasqueLanguageFormOf |
P17751
|
FINISHED |
| Object | Vitoria-Gasteiz |
—
|
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: Vitoria-Gasteiz | Statement: [Gasteiz, isBasqueLanguageFormOf, Vitoria-Gasteiz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBasqueLanguageFormOf Context triple: [Gasteiz, isBasqueLanguageFormOf, Vitoria-Gasteiz]
-
A.
hasBasqueName
chosen
Indicates that an entity is associated with a name expressed in the Basque language.
-
B.
hasLanguageFormOf
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
-
C.
hasBalearicName
Indicates that an entity is associated with a specific name in the Balearic (Balearic Catalan) language.
-
D.
hasSpanishMeaning
Indicates that one entity serves as the Spanish-language meaning or translation of another entity.
-
E.
isDialectalBaseOf
Indicates that one language variety serves as the primary dialectal source or foundation from which another dialect develops or is derived.
- F. None of above.
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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.