Triple

T1418292
Position Surface form Disambiguated ID Type / Status
Subject West Bengal E31965 entity
Predicate firstMetroInIndia P25257 FINISHED
Object Kolkata Metro E162700 NE FINISHED

How this triple was built (3 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 Metro | Statement: [West Bengal, firstMetroInIndia, Kolkata Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolkata Metro
Context triple: [West Bengal, firstMetroInIndia, Kolkata Metro]
  • A. Kolkata Metro chosen
    Kolkata Metro is India’s oldest rapid transit system, serving as a major urban rail network for the city of Kolkata and its surrounding areas.
  • B. Mumbai Metro
    Mumbai Metro is a rapid transit system serving the Mumbai metropolitan region, designed to alleviate congestion and complement the city’s suburban railway network.
  • C. Delhi Metro
    Delhi Metro is a rapid transit system serving Delhi and its surrounding metropolitan region, known for its extensive network, modern infrastructure, and role in easing urban congestion.
  • D. Lucknow Metro
    Lucknow Metro is a rapid transit system serving the city of Lucknow in Uttar Pradesh, India, designed to provide fast, modern urban transportation.
  • E. Hyderabad Metro
    Hyderabad Metro is a rapid transit system serving the city of Hyderabad, India, featuring multiple elevated corridors designed to ease urban traffic congestion and improve public transportation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstMetroInIndia
Context triple: [West Bengal, firstMetroInIndia, Kolkata Metro]
  • A. firstSubwayOpeningSegment
    Indicates that the subject is the initial segment or section of a subway line that was opened first in its operation or construction sequence.
  • B. firstSubwayOpeningDate
    Indicates the calendar date on which a subway system or line first began operating.
  • C. isLargestRailwayStationIn
    Indicates that a railway station is the largest (by a specified measure such as area, platforms, or traffic) among all stations within a given geographic or administrative region.
  • D. metroLineInaugurated
    Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
  • E. oldestSubwayLineIn chosen
    Indicates that a subway line is the earliest-built or longest-operating subway line within a specified geographic area or transit system.
  • F. None of above.

Provenance (4 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_69ad015cdc8881908887aa0fb0838145 completed March 8, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69a4bf060b0081909ba00e6ac093a28b completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.