Triple
T6184259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atayalic languages |
E138016
|
entity |
| Predicate | haveRevitalizationPrograms |
P4089
|
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: [Atayalic languages, haveRevitalizationPrograms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveRevitalizationPrograms Context triple: [Atayalic languages, haveRevitalizationPrograms, true]
-
A.
hasRedevelopmentProgram
Indicates that an entity is subject to or involved in a planned process of redevelopment, typically through an organized program or initiative.
-
B.
revitalizationEffort
chosen
Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
-
C.
welfareProgram
Indicates that an entity is involved in, provides, or is covered by a government or organizational welfare assistance program.
-
D.
hasResidentialProgram
Indicates that an entity offers or is associated with a residential program where participants live on-site.
-
E.
revitalizationCountry
Indicates the country in which a revitalization effort, project, or process takes place or is targeted.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c061020d148190ae2edf2b363f1e24 |
completed | March 22, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.