Triple
T15825528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dena’ina people |
E383730
|
entity |
| Predicate | haveLanguageRevitalizationEfforts |
P4252
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dena’ina people, haveLanguageRevitalizationEfforts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveLanguageRevitalizationEfforts Context triple: [Dena’ina people, haveLanguageRevitalizationEfforts, true]
-
A.
hasLanguageRevitalizationEfforts
chosen
Indicates that there are organized actions or initiatives aimed at preserving, strengthening, or reviving the use of a particular language.
-
B.
languageRevived
Indicates that a previously endangered or no-longer-spoken language has been brought back into active use within a community.
-
C.
languageRevivalGoal
Indicates a goal or effort aimed at reviving, revitalizing, or restoring use of a language that is endangered, declining, or no longer actively spoken.
-
D.
languageRevivalMethod
Indicates the method or strategy used to revive or revitalize a language that is endangered, dormant, or no longer actively spoken.
-
E.
languageRevivalStart
Indicates the point in time when efforts to revive or revitalize a language begin.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e602e5481908baa71c3d9b2008f |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.