Triple
T4637228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocopah language |
E101561
|
entity |
| Predicate | hasLanguageRevitalization |
P4252
|
FINISHED |
| Object | community language classes |
—
|
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: community language classes | Statement: [Cocopah language, hasLanguageRevitalization, community language classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageRevitalization Context triple: [Cocopah language, hasLanguageRevitalization, community language classes]
-
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.
languageRevivalMethod
Indicates the method or strategy used to revive or revitalize a language that is endangered, dormant, or no longer actively spoken.
-
D.
hasLanguageCommunity
Indicates that an entity is associated with or serves a particular language community.
-
E.
heritageLanguageMaintenance
Indicates efforts or processes through which individuals or communities continue using, transmitting, and preserving a heritage (ancestral) language across time and generations.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a62a9e48190b0cf1cbcc51f00c0 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.