Triple
T7122517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language Movement of 1952 |
E165980
|
entity |
| Predicate | mainDemand |
P6231
|
FINISHED |
| Object | recognition of Bengali as a state language |
—
|
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: recognition of Bengali as a state language | Statement: [Language Movement of 1952, mainDemand, recognition of Bengali as a state language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDemand Context triple: [Language Movement of 1952, mainDemand, recognition of Bengali as a state language]
-
A.
demands
Indicates that one entity insists that another entity provide something or take a specific action, typically with authority or urgency.
-
B.
demand
chosen
Indicates that one entity requests or insists that another entity provide something or perform an action, often with an expectation of compliance.
-
C.
demanded
Indicates that one entity forcefully or insistently requested something from another entity.
-
D.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
-
E.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:44 p.m.