Triple

T36045812
Position Surface form Disambiguated ID Type / Status
Subject Koli languages E1042666 entity
Predicate hasIndividualLanguage P35567 FINISHED
Object Maharashtrian Koli language
Maharashtrian Koli language is an Indo-Aryan language variety spoken primarily by the Koli community in the Indian state of Maharashtra.
E311539 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: Maharashtrian Koli language | Statement: [Koli languages, hasIndividualLanguage, Maharashtrian Koli language]
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: Maharashtrian Koli language
Triple: [Koli languages, hasIndividualLanguage, Maharashtrian Koli language]
Generated description
Maharashtrian Koli language is an Indo-Aryan language variety spoken primarily by the Koli community in the Indian state of Maharashtra.

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_69f76e2e41f8819091f9fb0536920fec completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a0092eb46e08190bbd5459ee7b4bd21 completed May 10, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb9d5a6c81909fe53eefd6ff29d7 completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cc219ad4819081fec325b458005f completed June 22, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_6a38ccf8e8b48190ac2f931ffa6ff800 completed June 22, 2026, 5:49 a.m.
Created at: May 3, 2026, 4:07 p.m.