Triple

T25565398
Position Surface form Disambiguated ID Type / Status
Subject Rajbanshi people E640821 entity
Predicate relatedGroup P37 FINISHED
Object Rangpuri people
The Rangpuri people are an Indo-Aryan ethnic group of the Bengal-Assam border region, culturally and linguistically linked to the Rajbanshi community and known for speaking the Rangpuri (Kamtapuri) language.
E1689492 NE 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: Rangpuri people | Statement: [Rajbanshi people, relatedGroup, Rangpuri people]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rangpuri people
Triple: [Rajbanshi people, relatedGroup, Rangpuri people]
Generated description
The Rangpuri people are an Indo-Aryan ethnic group of the Bengal-Assam border region, culturally and linguistically linked to the Rajbanshi community and known for speaking the Rangpuri (Kamtapuri) language.

Provenance (5 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_69e75dc1beb08190bac7d76b8d6e7bc4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8fc5dc481908dbb660bcde9cb4e completed May 2, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c131a73c8190988bd4ad38b2246e completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c2eee95481908b782308c2a2e5cc completed May 22, 2026, 8:56 p.m.
NED2 Entity disambiguation (via description) batch_6a10c36b20a0819084d94066362937ee completed May 22, 2026, 8:58 p.m.
Created at: April 21, 2026, 3:49 p.m.