Triple

T7015125
Position Surface form Disambiguated ID Type / Status
Subject Kulti E162681 entity
Predicate region P40 FINISHED
Object Asansol industrial belt E169843 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: Asansol industrial belt | Statement: [Kulti, region, Asansol industrial belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asansol industrial belt
Context triple: [Kulti, region, Asansol industrial belt]
  • A. Durgapur-Asansol industrial belt chosen
    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.
  • B. Asansol
    Asansol is a major industrial and coal-mining city in eastern India, known as one of the largest urban centers in the state of West Bengal.
  • C. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • D. Rourkela industrial region
    Rourkela industrial region is a major steel and engineering hub in eastern India, centered around the Rourkela Steel Plant and associated heavy industries.
  • E. Jamshedpur industrial region
    Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d31edc8190931655616d0739d1 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7884ac340819093e1812738d5e30f completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:34 p.m.