Triple
T36214694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naya Shakti Party, Nepal |
E1047656
|
entity |
| Predicate | hasEthnicAndSocialInclusionAgenda |
P192460
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Naya Shakti Party, Nepal, hasEthnicAndSocialInclusionAgenda, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicAndSocialInclusionAgenda Context triple: [Naya Shakti Party, Nepal, hasEthnicAndSocialInclusionAgenda, yes]
-
A.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
-
B.
hasEthnicEducation
Indicates that an entity provides, includes, or is associated with education specifically focused on ethnic groups, cultures, or identities.
-
C.
hasEthnicTarget
Indicates that an action, statement, or event is directed toward or targets a specific ethnic group.
-
D.
hasSignificantEthnicCompositionIssue
Indicates that there is a notable problem or concern related to the ethnic composition or ethnic balance within the referenced entity or context.
-
E.
hasEthnicOrNationalComposition
Indicates that an entity is characterized by a particular ethnic or national group composition.
- F. None of above. chosen
Provenance (4 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: May 3, 2026, 4:09 p.m.