Triple

T6055359
Position Surface form Disambiguated ID Type / Status
Subject Varhadi dialect E134895 entity
Predicate spokenIn P2266 FINISHED
Object Akola district E166095 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: Akola district | Statement: [Varhadi dialect, spokenIn, Akola district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akola district
Context triple: [Varhadi dialect, spokenIn, Akola district]
  • A. Alirajpur district
    Alirajpur district is a tribal-dominated district in the western part of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandrasekhar Azad.
  • B. Amravati district
    Amravati district is an administrative district in the state of Maharashtra, India, known for its agricultural economy and as part of the Vidarbha region.
  • C. Singrauli district
    Singrauli district is an administrative district in the Indian state of Madhya Pradesh, known as a major center for coal mining and thermal power generation.
  • D. Sitapur district
    Sitapur district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural landscape and location in the fertile plains of northern India.
  • E. Akola chosen
    Akola is a major city in the Vidarbha region of Maharashtra, India, known as an important commercial and educational center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603d438e48190b62c3b7210c2dbec completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:09 p.m.