Triple
T28338653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bankim Puraskar |
E717750
|
entity |
| Predicate | awardedForWritingInLanguage |
P63553
|
FINISHED |
| Object | Bengali |
—
|
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: Bengali | Statement: [Bankim Puraskar, awardedForWritingInLanguage, Bengali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForWritingInLanguage Context triple: [Bankim Puraskar, awardedForWritingInLanguage, Bengali]
-
A.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
B.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
-
C.
awardNameLanguage
Indicates the language in which the name of an award is expressed.
-
D.
awardLanguage
chosen
Indicates that an award is given specifically for works or achievements in a particular language.
-
E.
awardWithinFiction
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 12:38 a.m.