Triple
T8101305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Xunta de Galicia |
E189118
|
entity |
| Predicate | nativeLanguageOfOfficialTitle |
P51323
|
FINISHED |
| Object | Galician |
—
|
LITERAL 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: Galician | Statement: [President of the Xunta de Galicia, nativeLanguageOfOfficialTitle, Galician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeLanguageOfOfficialTitle Context triple: [President of the Xunta de Galicia, nativeLanguageOfOfficialTitle, Galician]
-
A.
officialLanguageOfTitle
Indicates that a specified language is the officially designated language associated with a particular title or position.
-
B.
officialTitleInLanguage
chosen
Indicates that an entity’s official title or designation is expressed in a specified language.
-
C.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
D.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
E.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42bbf20c8190aa8c272b5c39002d |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:31 p.m.