Triple

T20631303
Position Surface form Disambiguated ID Type / Status
Subject Datia district E506960 entity
Predicate legislativeAssemblyConstituency P23217 FINISHED
Object Bhander 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: Bhander | Statement: [Datia district, legislativeAssemblyConstituency, Bhander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhander
Context triple: [Datia district, legislativeAssemblyConstituency, Bhander]
  • A. Bhander chosen
    Bhander is a small town in the Datia district of Madhya Pradesh, India, known for its local markets and role as a regional administrative and commercial center.
  • B. Khandi
    Khandi is the first name of Khandi Alexander, an American actress and dancer known for her roles in television series such as "CSI: Miami," "NewsRadio," and "Treme."
  • C. Bhandarej
    Bhandarej is a historic village in Rajasthan, India, known for its ancient stepwells, forts, and traditional Rajasthani architecture that attract tourists.
  • D. Bhandara
    Bhandara is a town and district headquarters in the Vidarbha region of Maharashtra, India, known for its rice production and proximity to several lakes and rivers.
  • E. Banshiwala
    Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad0b0508819093c62a4ceaf860ce completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.