Triple

T7016139
Position Surface form Disambiguated ID Type / Status
Subject Bandel E162703 entity
Predicate region P40 FINISHED
Object Hooghly industrial belt E162707 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: Hooghly industrial belt | Statement: [Bandel, region, Hooghly industrial belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hooghly industrial belt
Context triple: [Bandel, region, Hooghly industrial belt]
  • A. 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.
  • B. Garden Reach, Calcutta
    Garden Reach, Calcutta is a riverside neighborhood in Kolkata, India, historically notable as the exiled residence of Awadh’s last Nawab, Wajid Ali Shah.
  • C. Hooghly district chosen
    Hooghly district is an administrative district in the Indian state of West Bengal, known for its historical towns, industrial hubs, and location along the Hooghly River.
  • D. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • E. Kolkata Cantonment
    Kolkata Cantonment is a major military cantonment area in Kolkata, India, housing key army installations and administrative facilities.
  • 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_69c6e1d43e948190843f1cef3ce2004e completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a5655d48190a2df556f63add35d completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.