Triple
T23838020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehendakari of the Basque Country |
E590904
|
entity |
| Predicate | titleInBasque |
P89513
|
FINISHED |
| Object | Lehendakari |
—
|
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: Lehendakari | Statement: [Lehendakari of the Basque Country, titleInBasque, Lehendakari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInBasque Context triple: [Lehendakari of the Basque Country, titleInBasque, Lehendakari]
-
A.
titleInSpanish
Indicates that one entity is the title of another entity expressed in the Spanish language.
-
B.
titleInLanguage
chosen
Indicates that a specific title or name is expressed in a particular language.
-
C.
titleBasis
Indicates that one entity serves as the basis or source material for the title or name of another entity.
-
D.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
-
E.
titleInLatinScript
Indicates that the title of an entity is written or represented using a Latin-based writing system.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c883c7108190b3cce6fec0b8609a |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:08 p.m.