Triple

T20631308
Position Surface form Disambiguated ID Type / Status
Subject Datia district E506960 entity
Predicate governingBody P46 FINISHED
Object Datia district administration 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: Datia district administration | Statement: [Datia district, governingBody, Datia district administration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datia district administration
Context triple: [Datia district, governingBody, Datia district administration]
  • A. Datia district chosen
    Datia district is an administrative district in the central Indian state of Madhya Pradesh, known for its historic forts and temples.
  • B. Vidy district
    Vidy district is a lakeside neighborhood in Lausanne, Switzerland, known for its cultural venues, parks, and recreational areas along Lake Geneva.
  • C. Bhandara district
    Bhandara district is an administrative district in the Indian state of Maharashtra, located in the Vidarbha region and known for its rice production and lakes.
  • D. Doshi District
    Doshi District is an administrative district in northern Afghanistan, located within Baghlan Province and known for its strategic position along key transport routes.
  • E. Gaj district
    Gaj district is a residential neighborhood in the city of Wrocław, Poland.
  • 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.