Triple

T3357978
Position Surface form Disambiguated ID Type / Status
Subject HITEC City E70649 entity
Predicate metroSystem P32065 FINISHED
Object Hyderabad Metro E71079 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: Hyderabad Metro | Statement: [HITEC City, metroSystem, Hyderabad Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyderabad Metro
Context triple: [HITEC City, metroSystem, Hyderabad Metro]
  • A. Hyderabad Metro chosen
    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.
  • B. Bangalore Metro
    Bangalore Metro is a rapid transit system serving the city of Bengaluru, India, providing an elevated and underground rail network to ease urban transportation and reduce traffic congestion.
  • C. 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.
  • 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. Chennai Metro
    Chennai Metro is a rapid transit system serving the Indian city of Chennai, providing urban rail connectivity across key residential, commercial, and industrial areas.
  • 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: metroSystem
Context triple: [HITEC City, metroSystem, Hyderabad Metro]
  • A. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • B. rapidTransitSystem chosen
    Indicates a transportation relationship where people or goods are moved via a high-capacity, high-frequency public transit system designed for rapid travel over urban or regional routes.
  • C. subwayStation
    Indicates that one entity is a subway station associated with, located in, or serving the other entity.
  • D. subwayServices
    Indicates that one entity provides or operates subway transportation services for another entity or area.
  • E. metroLineInaugurated
    Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb244435c81908e35d2aa36ec4f46 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253e91988190bbfdafdf88ab0df1 completed March 12, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69ada42fbe7c8190b9f185b5ab985f17 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.