Triple

T3217838
Position Surface form Disambiguated ID Type / Status
Subject Lahore E67437 entity
Predicate hasMassTransit P34620 FINISHED
Object Lahore Metrobus
Lahore Metrobus is a bus rapid transit system in Lahore, Pakistan, providing high-capacity, dedicated-corridor public transportation across the city.
E338399 NE FINISHED

How this triple was built (5 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: Lahore Metrobus | Statement: [Lahore, hasMassTransit, Lahore Metrobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahore Metrobus
Context triple: [Lahore, hasMassTransit, Lahore Metrobus]
  • A. Karachi Circular Railway (corridor)
    Karachi Circular Railway (corridor) is an urban rail transit route in Karachi designed to connect key residential, commercial, and industrial areas of the city.
  • B. Dhaka Metro Rail
    Dhaka Metro Rail is the rapid transit system serving Bangladesh’s capital, designed to reduce traffic congestion and improve urban mobility.
  • C. Tehran Bus Rapid Transit
    Tehran Bus Rapid Transit is a dedicated-lane bus network in Iran’s capital that provides high-capacity, rapid public transportation across major urban corridors.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lahore Metrobus
Triple: [Lahore, hasMassTransit, Lahore Metrobus]
Generated description
Lahore Metrobus is a bus rapid transit system in Lahore, Pakistan, providing high-capacity, dedicated-corridor public transportation across the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lahore Metrobus
Target entity description: Lahore Metrobus is a bus rapid transit system in Lahore, Pakistan, providing high-capacity, dedicated-corridor public transportation across the city.
  • A. Karachi Circular Railway (corridor)
    Karachi Circular Railway (corridor) is an urban rail transit route in Karachi designed to connect key residential, commercial, and industrial areas of the city.
  • B. Dhaka Metro Rail
    Dhaka Metro Rail is the rapid transit system serving Bangladesh’s capital, designed to reduce traffic congestion and improve urban mobility.
  • C. Tehran Bus Rapid Transit
    Tehran Bus Rapid Transit is a dedicated-lane bus network in Iran’s capital that provides high-capacity, rapid public transportation across major urban corridors.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMassTransit
Context triple: [Lahore, hasMassTransit, Lahore Metrobus]
  • A. hasPublicTransitMode
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • B. hasFormOfPublicTransit
    Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
  • C. hasPublicTransitProvider
    Indicates that a place or region is served by a specific public transit operating organization or agency.
  • D. hasPublicTransitRole
    Indicates that an entity holds a specific functional role or responsibility within a public transit system.
  • E. hasPublicTransitRoute chosen
    Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
  • F. None of above.

Provenance (6 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26241803c8190aa3254d5887c80f4 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2664ddd488190a3edf40fc2dcee18 completed March 12, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69b266ca4a90819083ecb16095a2984b completed March 12, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69ad9e0bb6c48190a0659c67d40ee37c completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:08 p.m.