Triple
T4854485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purvanchal |
E108501
|
entity |
| Predicate | hasPoliticalConcept |
P12806
|
FINISHED |
| Object | Purvanchal statehood demand |
—
|
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: Purvanchal statehood demand | Statement: [Purvanchal, hasPoliticalConcept, Purvanchal statehood demand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalConcept Context triple: [Purvanchal, hasPoliticalConcept, Purvanchal statehood demand]
-
A.
politicalConceptAssociated
chosen
Indicates that there is a conceptual or thematic association between a political concept and another entity (such as an idea, event, policy, or actor).
-
B.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
C.
hasPolity
Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
-
D.
hasPoliticalSignificanceFor
Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
-
E.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.