Triple
T34585257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | বোষু |
E888025
|
entity |
| Predicate | regionalFormOf |
P11942
|
FINISHED |
| Object | বসু |
—
|
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: বসু | Statement: [বোষু, regionalFormOf, বসু]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalFormOf Context triple: [বোষু, regionalFormOf, বসু]
-
A.
regionalVariantOf
chosen
Indicates that one entity is a version or form of another that is specific to a particular geographic region or locale.
-
B.
regionalDialect
Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
-
C.
isRegionalAlternativeTo
Indicates that one entity serves as a counterpart or substitute for another within a specific geographic region or local context.
-
D.
localFormOf
Indicates that one entity is a localized or region-specific version or variant of another, more general entity.
-
E.
regionalType
Indicates the classification of a region according to its designated type or category within a broader geographic or administrative system.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: May 1, 2026, 2:03 a.m.