Triple
T20330021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RJD Women’s Wing |
E492450
|
entity |
| Predicate | politicalPositionOfParentParty |
P130050
|
FINISHED |
| Object | centre-left in India |
—
|
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: centre-left in India | Statement: [RJD Women’s Wing, politicalPositionOfParentParty, centre-left in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPositionOfParentParty Context triple: [RJD Women’s Wing, politicalPositionOfParentParty, centre-left in India]
-
A.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
B.
hasParentPoliticalParty
Indicates that a political party is affiliated with, derived from, or organizationally subordinate to another, larger political party.
-
C.
parentPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, derived from, or characteristic of their parent.
-
D.
politicalOrientationOfParty
chosen
Indicates the political ideology or orientation that characterizes a political party.
-
E.
subjectPoliticalParty
Indicates the political party with which the subject is formally affiliated or identified.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e6f5d08190bedf376bbb999ebc |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:22 a.m.