Triple
T25653665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindus in Bengal |
E643169
|
entity |
| Predicate | majorityLocation |
P21204
|
FINISHED |
| Object | West Bengal |
—
|
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: West Bengal | Statement: [Hindus in Bengal, majorityLocation, West Bengal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityLocation Context triple: [Hindus in Bengal, majorityLocation, West Bengal]
-
A.
demographicMajority
chosen
Indicates that one group constitutes more than half of the population within a specified context or area.
-
B.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
C.
minorityLocation
Indicates that a minority group is present, situated, or concentrated in a particular location or area.
-
D.
globalMajorityWithin
Indicates that one group or category constitutes the majority of a population or set when considered at a global or overall scale within a specified context.
-
E.
hasMajorLocation
Indicates that an entity is primarily situated in, based in, or most significantly associated with a particular location.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 21, 2026, 6:30 p.m.