Triple
T26514397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | संघ परिवार |
E669772
|
entity |
| Predicate | संबद्ध_मजदूर_संगठन |
P21008
|
FINISHED |
| Object | भारतीय मजदूर संघ |
—
|
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: भारतीय मजदूर संघ | Statement: [संघ परिवार, संबद्ध_मजदूर_संगठन, भारतीय मजदूर संघ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: संबद्ध_मजदूर_संगठन Context triple: [संघ परिवार, संबद्ध_मजदूर_संगठन, भारतीय मजदूर संघ]
-
A.
laborUnion
Indicates that an entity is a labor union representing workers in collective employment-related matters.
-
B.
associatedWithTradeUnions
chosen
Indicates that there is a relationship of involvement, connection, or affiliation between an entity and one or more trade unions.
-
C.
laborRelationsWith
Indicates a formal or informal labor-related relationship or interaction between two parties, such as negotiation, representation, or employment conditions.
-
D.
controlledTradeUnions
Indicates that one party exercises authority or influence over trade unions, directing or constraining their activities or decisions.
-
E.
tradeUnionWing
Indicates that one entity functions as the trade union wing or labor-organizing arm of another entity.
- 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_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 1:22 a.m.