Triple
T26514432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | संघ परिवार |
E669772
|
entity |
| Predicate | संबद्ध_नीति_विचार_संस्था |
P21848
|
FINISHED |
| Object | विवेकानंद इंटरनेशनल फाउंडेशन |
—
|
NE NERFINISHED |
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: विवेकानंद इंटरनेशनल फाउंडेशन | Statement: [संघ परिवार, संबद्ध_नीति_विचार_संस्था, विवेकानंद इंटरनेशनल फाउंडेशन]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: संबद्ध_नीति_विचार_संस्था Context triple: [संघ परिवार, संबद्ध_नीति_विचार_संस्था, विवेकानंद इंटरनेशनल फाउंडेशन]
-
A.
policyInstituteName
Indicates that the subject is the name or designated title of a policy institute.
-
B.
associatedReform
Indicates a relationship where one entity is linked to, connected with, or involved in a particular reform or set of reforms.
-
C.
policyConcept
Indicates that one entity is a policy and the other is a conceptual element or idea that defines, characterizes, or underlies that policy.
-
D.
associatedPolityType
Indicates the type or category of political entity with which something is formally associated or linked.
-
E.
ideologicalAssociation
chosen
Indicates a relationship in which one entity is connected to, aligned with, or characterized by a particular ideology or set of ideological beliefs.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 1:22 a.m.