Triple
T26514401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | संघ परिवार |
E669772
|
entity |
| Predicate | संबद्ध_महिला_संगठन |
P32258
|
FINISHED |
| Object | राष्ट्र सेविका समिति |
—
|
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: राष्ट्र सेविका समिति | Statement: [संघ परिवार, संबद्ध_महिला_संगठन, राष्ट्र सेविका समिति]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: संबद्ध_महिला_संगठन Context triple: [संघ परिवार, संबद्ध_महिला_संगठन, राष्ट्र सेविका समिति]
-
A.
hasWomenOrganization
chosen
Indicates that an entity is associated with, contains, or is part of an organization specifically for women.
-
B.
hadWomenOrganization
Indicates that an entity was associated with or involved in an organization focused on women or women’s issues.
-
C.
mmaOrganization
Indicates that an entity is an organization that promotes, sanctions, or manages mixed martial arts (MMA) events or competitions.
-
D.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
E.
femaleMember
Indicates that one entity is a member of a group or organization and is identified as female.
- 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_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:22 a.m.