Triple
T19813713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Vikas Aghadi |
E476008
|
entity |
| Predicate | governedWithSupportOf |
P45683
|
FINISHED |
| Object | independent MLAs |
—
|
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: independent MLAs | Statement: [Maha Vikas Aghadi, governedWithSupportOf, independent MLAs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governedWithSupportOf Context triple: [Maha Vikas Aghadi, governedWithSupportOf, independent MLAs]
-
A.
governedWith
chosen
Indicates that two or more entities share or participate together in the act or process of governing.
-
B.
governedFor
Indicates that one entity exercised governing authority or administrative control on behalf of, or in the interest of, another entity.
-
C.
governedAs
Indicates that one entity exercises authoritative control, direction, or rule over another according to some system of governance or leadership.
-
D.
governed by
Indicates that an entity is under the authority, control, or administration of another entity that makes and enforces rules or decisions for it.
-
E.
governedThrough
Indicates that one entity exercises control, authority, or administration over another entity by means of a specified intermediary mechanism, structure, or process.
- 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.