Triple

T6393078
Position Surface form Disambiguated ID Type / Status
Subject Greater Jakarta E143874 entity
Predicate hasMassTransitSystem P30292 FINISHED
Object Jakarta MRT
Jakarta MRT is a rapid transit system serving Indonesia’s capital region, designed to reduce congestion and improve urban mobility through modern, high-capacity rail services.
E590852 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: Jakarta MRT | Statement: [Greater Jakarta, hasMassTransitSystem, Jakarta MRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakarta MRT
Context triple: [Greater Jakarta, hasMassTransitSystem, Jakarta MRT]
  • A. Jakarta BRT (TransJakarta)
    Jakarta BRT (TransJakarta) is a bus rapid transit system in Indonesia’s capital that uses dedicated lanes and high-capacity buses to provide mass public transportation across the city.
  • B. MRT Kajang Line
    The MRT Kajang Line is a major mass rapid transit line serving Kuala Lumpur and its surrounding areas, forming part of the city's modern urban rail network.
  • C. Palembang LRT
    Palembang LRT is an elevated light rail transit system in Palembang, Indonesia, built to improve urban mobility and support major events such as the 2018 Asian Games.
  • D. Bogor Station
    Bogor Station is a major railway station and commuter rail terminus serving the city of Bogor and the greater Jakarta metropolitan area in Indonesia.
  • E. Bekasi Station
    Bekasi Station is a major railway station serving commuter and intercity trains in the city of Bekasi, Indonesia.
  • 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: Jakarta MRT
Triple: [Greater Jakarta, hasMassTransitSystem, Jakarta MRT]
Generated description
Jakarta MRT is a rapid transit system serving Indonesia’s capital region, designed to reduce congestion and improve urban mobility through modern, high-capacity rail services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jakarta MRT
Target entity description: Jakarta MRT is a rapid transit system serving Indonesia’s capital region, designed to reduce congestion and improve urban mobility through modern, high-capacity rail services.
  • A. Jakarta BRT (TransJakarta)
    Jakarta BRT (TransJakarta) is a bus rapid transit system in Indonesia’s capital that uses dedicated lanes and high-capacity buses to provide mass public transportation across the city.
  • B. MRT Kajang Line
    The MRT Kajang Line is a major mass rapid transit line serving Kuala Lumpur and its surrounding areas, forming part of the city's modern urban rail network.
  • C. Palembang LRT
    Palembang LRT is an elevated light rail transit system in Palembang, Indonesia, built to improve urban mobility and support major events such as the 2018 Asian Games.
  • D. Bogor Station
    Bogor Station is a major railway station and commuter rail terminus serving the city of Bogor and the greater Jakarta metropolitan area in Indonesia.
  • E. Bekasi Station
    Bekasi Station is a major railway station serving commuter and intercity trains in the city of Bekasi, Indonesia.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMassTransitSystem
Context triple: [Greater Jakarta, hasMassTransitSystem, Jakarta MRT]
  • A. hasMajorPublicTransitSystem
    Indicates that a place possesses a significant, widely used public transportation network (such as buses, subways, or trains) that serves a large portion of its population.
  • B. hasLightRailSystem
    Indicates that a place possesses and operates a light rail transit system.
  • C. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • D. hasPublicTransitMode
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • E. hasFormOfPublicTransit chosen
    Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
PD Predicate disambiguation batch_69c060f25c088190b433f78553ff1d84 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:34 p.m.