Triple

T867371
Position Surface form Disambiguated ID Type / Status
Subject Porbandar railway station E18733 entity
Predicate connectsTo P845 FINISHED
Object Kolkata E4838 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: Kolkata | Statement: [Porbandar railway station, connectsTo, Kolkata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolkata
Context triple: [Porbandar railway station, connectsTo, Kolkata]
  • A. Calcutta chosen
    Calcutta, now known as Kolkata, is a major cultural and commercial metropolis in eastern India that served as the capital of British India until the early 20th century.
  • B. 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.
  • C. Guwahati
    Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
  • D. Mumbai
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • E. Patna
    Patna is the capital city of the Indian state of Bihar, situated along the Ganges River and known as one of the oldest continuously inhabited cities in the world.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7e12b0819084d25b9a66888a91 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc5ff51c48190ab9b096d9d885d8f completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:39 p.m.