Triple

T1418173
Position Surface form Disambiguated ID Type / Status
Subject West Bengal E31965 entity
Predicate containsTown P847 FINISHED
Object Chandannagar E86823 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: Chandannagar | Statement: [West Bengal, containsTown, Chandannagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandannagar
Context triple: [West Bengal, containsTown, Chandannagar]
  • A. Chandannagar chosen
    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.
  • B. 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.
  • C. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • D. Siliguri
    Siliguri is a major commercial and transportation hub in northeastern India, strategically located near the borders of Nepal, Bhutan, and Bangladesh and serving as the gateway to the Himalayan region.
  • E. Kharagpur
    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.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad400e0a8c8190956ec444b86aa28c completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:59 p.m.