Triple
T7123203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhayanaut |
E165995
|
entity |
| Predicate | languageOfCulturePromoted |
P72315
|
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: [Chhayanaut, languageOfCulturePromoted, Bengali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCulturePromoted Context triple: [Chhayanaut, languageOfCulturePromoted, Bengali]
-
A.
isCulturalLanguageOf
Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, or region.
-
B.
promotedLanguage
chosen
Indicates that one entity actively advocated for, advertised, or otherwise encouraged the use or adoption of a particular language.
-
C.
languageOfPrimaryCult
Indicates that a specified language is the main or dominant language used in a particular cult’s primary religious practices or rituals.
-
D.
languageOfScriptPromoted
Indicates that a particular language is associated with and promoted through the use of a given writing script.
-
E.
primaryCulture
Indicates the main or dominant culture associated with an entity, typically in contrast to any secondary or additional cultures.
- 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_69c6e64ab1f881908bc2468cc72d2544 |
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.