Triple
T19813720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Vikas Aghadi |
E476008
|
entity |
| Predicate | hasComponentWithIdeology |
P13736
|
FINISHED |
| Object | regionalism (Shiv Sena) |
—
|
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: regionalism (Shiv Sena) | Statement: [Maha Vikas Aghadi, hasComponentWithIdeology, regionalism (Shiv Sena)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentWithIdeology Context triple: [Maha Vikas Aghadi, hasComponentWithIdeology, regionalism (Shiv Sena)]
-
A.
ideologyComponent
chosen
Indicates that one ideology is a constituent or defining part of another, broader ideology.
-
B.
hasIdeologicalPosition
Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
-
C.
hasIdeologicalRole
Indicates that an entity holds or fulfills a specific function, position, or influence within an ideology or ideological framework.
-
D.
hasMemberPartyIdeology
Indicates that a political party’s members collectively adhere to or are associated with a particular ideological stance.
-
E.
hasPoliticalComponent
Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f6495c81908e7eea359a60e40f |
completed | April 20, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.