Triple

T20130014
Position Surface form Disambiguated ID Type / Status
Subject Bhopal–Indore road E490863 entity
Predicate passesThrough P225 FINISHED
Object Dewas district 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: Dewas district | Statement: [Bhopal–Indore road, passesThrough, Dewas district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dewas district
Context triple: [Bhopal–Indore road, passesThrough, Dewas district]
  • A. Dewas district chosen
    Dewas district is an administrative region in the central Indian state of Madhya Pradesh, known for its industrial town of Dewas and agricultural hinterland.
  • B. 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.
  • C. Dausa district
    Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
  • D. Gonda district
    Gonda district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and historical and cultural significance in the Awadh region.
  • E. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66760b8f08190a66fbb2e9e3925a3 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.