Triple

T6619936
Position Surface form Disambiguated ID Type / Status
Subject Jhabua E149647 entity
Predicate district P2709 FINISHED
Object Jhabua district E581373 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: Jhabua district | Statement: [Jhabua, district, Jhabua district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhabua district
Context triple: [Jhabua, district, Jhabua district]
  • A. Jhabua district chosen
    Jhabua district is a predominantly tribal and rural district in the western part of Madhya Pradesh, India, known for its Bhil culture and hilly terrain.
  • B. 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.
  • C. Dahod district
    Dahod district is an administrative district in the eastern part of Gujarat, India, known for its predominantly tribal population and developing urban center at Dahod town.
  • D. Mahesana district
    Mahesana district is an administrative district in the state of Gujarat, India, known for its agricultural economy, dairy industry, and historical temples.
  • E. Satna district
    Satna district is an administrative district in the Indian state of Madhya Pradesh, known for its cement industries and proximity to important historical and religious sites.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af5ca97481909f8a7dc47249b4d3 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751058e808190b3f9e7f9e5f68327 completed March 28, 2026, 3:54 a.m.
Created at: March 27, 2026, 1:58 p.m.