Triple

T25565397
Position Surface form Disambiguated ID Type / Status
Subject Rajbanshi people E640821 entity
Predicate relatedGroup P37 FINISHED
Object Kamtapuri people
The Kamtapuri people are an ethnolinguistic community of eastern South Asia, closely associated with the Kamtapuri (Rajbanshi) language and the historical Koch–Kamata region spanning parts of present-day India and Bangladesh.
E1990379 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: Kamtapuri people | Statement: [Rajbanshi people, relatedGroup, Kamtapuri 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: Kamtapuri people
Triple: [Rajbanshi people, relatedGroup, Kamtapuri people]
Generated description
The Kamtapuri people are an ethnolinguistic community of eastern South Asia, closely associated with the Kamtapuri (Rajbanshi) language and the historical Koch–Kamata region spanning parts of present-day India and Bangladesh.

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_6a2eddb816248190940e5dafeac15ae2 completed June 14, 2026, 4:58 p.m.
NEDg Description generation batch_6a2ede66f14c8190886168756794a63e completed June 14, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a2edfcbf05481908b10310ec4536277 completed June 14, 2026, 5:07 p.m.
Created at: April 21, 2026, 3:49 p.m.