Triple
T1820657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobiin |
E40530
|
entity |
| Predicate | hasCommunityRevitalizationEfforts |
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: [Nobiin, hasCommunityRevitalizationEfforts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunityRevitalizationEfforts Context triple: [Nobiin, hasCommunityRevitalizationEfforts, true]
-
A.
revitalizationEffort
chosen
Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
-
B.
hasCommunityEfforts
Indicates that an entity engages in or is associated with organized activities or initiatives intended to benefit a community.
-
C.
hasCommunityServed
Indicates that an entity provides services or benefits to, or is intended to support, a particular community or group of people.
-
D.
hasPlannedCommunity
Indicates that an entity is associated with or contains a community that has been intentionally designed and organized according to a specific development plan.
-
E.
hasLanguageRevitalizationEfforts
Indicates that there are organized actions or initiatives aimed at preserving, strengthening, or reviving the use of a particular language.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.