Triple

T20810610
Position Surface form Disambiguated ID Type / Status
Subject Satna district E512285 entity
Predicate hasIndustrialArea P40 FINISHED
Object Satna industrial belt NE NERFINISHED

How this triple was built (3 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: Satna industrial belt | Statement: [Satna district, hasIndustrialArea, Satna industrial belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satna industrial belt
Context triple: [Satna district, hasIndustrialArea, Satna industrial belt]
  • A. Majha–Doaba industrial belt
    The Majha–Doaba industrial belt is a key manufacturing and commercial corridor in Punjab, India, encompassing cities like Jalandhar and known for its diverse small- and medium-scale industries.
  • B. Uluberia industrial belt
    Uluberia industrial belt is a major industrial zone in West Bengal, India, known for its concentration of manufacturing units and factories that contribute significantly to the region’s economy.
  • C. Kanpur industrial belt
    The Kanpur industrial belt is a major manufacturing and commercial hub in northern India, known for its leather, textile, and engineering industries.
  • D. Ahmedabad-Viramgam industrial belt
    The Ahmedabad-Viramgam industrial belt is a key manufacturing and logistics corridor in Gujarat, India, characterized by clusters of textile, chemical, engineering, and ancillary industries supported by strong road and rail connectivity.
  • E. Durgapur-Asansol industrial belt
    The Durgapur-Asansol industrial belt is a major coal- and steel-based industrial region in West Bengal, India, known for its heavy industries, power plants, and engineering enterprises.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Satna industrial belt
Target entity description: Satna industrial belt is a key manufacturing and industrial hub in Madhya Pradesh’s Satna district, known especially for its cement and related industries.
  • A. Majha–Doaba industrial belt
    The Majha–Doaba industrial belt is a key manufacturing and commercial corridor in Punjab, India, encompassing cities like Jalandhar and known for its diverse small- and medium-scale industries.
  • B. Uluberia industrial belt
    Uluberia industrial belt is a major industrial zone in West Bengal, India, known for its concentration of manufacturing units and factories that contribute significantly to the region’s economy.
  • C. Kanpur industrial belt
    The Kanpur industrial belt is a major manufacturing and commercial hub in northern India, known for its leather, textile, and engineering industries.
  • D. Ahmedabad-Viramgam industrial belt
    The Ahmedabad-Viramgam industrial belt is a key manufacturing and logistics corridor in Gujarat, India, characterized by clusters of textile, chemical, engineering, and ancillary industries supported by strong road and rail connectivity.
  • E. Durgapur-Asansol industrial belt
    The Durgapur-Asansol industrial belt is a major coal- and steel-based industrial region in West Bengal, India, known for its heavy industries, power plants, and engineering enterprises.
  • F. None of above. chosen

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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d27a4881908b34679385d8b94b completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.