Triple
T408809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tlingit |
E9440
|
entity |
| Predicate | hasRevitalizationEffort |
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: [Tlingit, hasRevitalizationEffort, community language classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRevitalizationEffort Context triple: [Tlingit, hasRevitalizationEffort, community language classes]
-
A.
revitalizationEffort
Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
-
B.
hasReformEffort
Indicates that an entity undertakes, is involved in, or is the subject of a deliberate effort to change, improve, or restructure a system, policy, or practice.
-
C.
hasLanguageRevitalizationEfforts
chosen
Indicates that there are organized actions or initiatives aimed at preserving, strengthening, or reviving the use of a particular language.
-
D.
revival
Indicates the act of bringing something back into use, popularity, or active existence after a period of decline, dormancy, or disuse.
-
E.
hasStandardizationEffort
Indicates that there is an organized effort or process to standardize something, such as practices, formats, or specifications, across relevant entities or contexts.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbf0650819080753815ca280eec |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.