Triple
T31738944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llingua Llïonesa |
E810079
|
entity |
| Predicate | hasLanguageMovement |
P75229
|
FINISHED |
| Object | Leonese language revival movement |
—
|
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: Leonese language revival movement | Statement: [Llingua Llïonesa, hasLanguageMovement, Leonese language revival movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageMovement Context triple: [Llingua Llïonesa, hasLanguageMovement, Leonese language revival movement]
-
A.
hasLanguageOfProtest
Indicates that an entity expresses or embodies a language, style, or discourse of protest in relation to another entity or context.
-
B.
hasLanguageCommunity
Indicates that an entity is associated with or serves a particular language community.
-
C.
languageAdvocated
chosen
Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
-
D.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
E.
hasProposedLanguage
Indicates that an entity has put forward or suggested a particular language, typically as a candidate for use, adoption, or standardization.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: April 30, 2026, 11:24 p.m.