Triple
T25656395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barak Valley |
E643248
|
entity |
| Predicate | hasEthnolinguisticMajority |
P115409
|
FINISHED |
| Object | Bengali people |
—
|
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: Bengali people | Statement: [Barak Valley, hasEthnolinguisticMajority, Bengali people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnolinguisticMajority Context triple: [Barak Valley, hasEthnolinguisticMajority, Bengali people]
-
A.
hasMajorEthnicCategory
Indicates that an entity is associated with, or classified under, a primary or overarching ethnic category.
-
B.
hasOfficialLanguageMajority
Indicates that a specified language is spoken by the majority of the population within a given political or geographic entity.
-
C.
hasEthnolinguisticPresence
chosen
Indicates that a particular ethnolinguistic group is present or represented within a specified place, context, or population.
-
D.
hasEthnicOrNationalComposition
Indicates that an entity is characterized by a particular ethnic or national group composition.
-
E.
hasMajorityIndigenousPopulation
Indicates that the majority of the population in a given area or group is composed of Indigenous peoples.
- 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_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 6:33 p.m.