Triple

T20638031
Position Surface form Disambiguated ID Type / Status
Subject Ujjain district E507137 entity
Predicate borderedBy P224 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: [Ujjain district, borderedBy, Dewas district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dewas district
Context triple: [Ujjain district, borderedBy, 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1163008190aa9df36750a952d2 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.