Triple

T8183976
Position Surface form Disambiguated ID Type / Status
Subject Jhargram E191135 entity
Predicate connectedByRoadTo P11435 FINISHED
Object Kharagpur E172321 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: Kharagpur | Statement: [Jhargram, connectedByRoadTo, Kharagpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kharagpur
Context triple: [Jhargram, connectedByRoadTo, Kharagpur]
  • A. Kharagpur chosen
    Kharagpur is an industrial city in eastern India best known for hosting the first campus of the Indian Institute of Technology (IIT Kharagpur) and one of the country’s longest railway platforms.
  • B. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • C. Burdwan
    Burdwan is a historic city in the Indian state of West Bengal, known for its cultural heritage, educational institutions, and former status as a major administrative and commercial center.
  • D. Serampore
    Serampore is a historic town on the Hooghly River in West Bengal, India, known for its colonial-era architecture and as a former Danish trading settlement.
  • E. Chandannagar
    Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce022b87bc8190b390adf9170eb886 completed April 2, 2026, 5:44 a.m.
Created at: March 30, 2026, 5:41 p.m.