Triple
T18627134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill Nisenan |
E455311
|
entity |
| Predicate | currentEffort |
P19466
|
FINISHED |
| Object | language revitalization |
—
|
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: language revitalization | Statement: [Hill Nisenan, currentEffort, language revitalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentEffort Context triple: [Hill Nisenan, currentEffort, language revitalization]
-
A.
dimensionOfEffort
Indicates a specific measurable aspect or component that characterizes the nature or extent of an effort.
-
B.
currentActivityLevel
chosen
Indicates the present intensity or degree of activity that an entity is engaged in at a given moment.
-
C.
hasPlanningEffort
Indicates that an entity is associated with a required or invested amount of planning work or preparation effort.
-
D.
peakActivity
Indicates that an entity is at its highest or most intense level of activity within a given period or context.
-
E.
productivityLevel
Indicates the degree or intensity of how much useful output or work an entity produces over a given period or context.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0581f0819083c1aba9fb85f6a7 |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.