Triple

T8257259
Position Surface form Disambiguated ID Type / Status
Subject Tama Monorail E193100 entity
Predicate hasRouteNumber P1864 FINISHED
Object Monorail Line
Monorail Line is a designated route or service classification used within the Tama Monorail system in Japan.
 E721184 NE FINISHED

How this triple was built (4 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: Monorail Line | Statement: [Tama Monorail, hasRouteNumber, Monorail Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monorail Line
Context triple: [Tama Monorail, hasRouteNumber, Monorail Line]
  • A. Alweg Monorail
    The Alweg Monorail is an elevated monorail system in Seattle that became an iconic symbol of mid-20th-century futuristic transportation design.
  • B. Tama Monorail
    Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
  • C. Pink Line
    The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
  • D. Pink Line
    Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
  • E. Tokyo Monorail
    Tokyo Monorail is an urban transit line in Tokyo that provides rapid rail service between central Tokyo and Haneda Airport.
  • 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: Monorail Line
Triple: [Tama Monorail, hasRouteNumber, Monorail Line]
Generated description
Monorail Line is a designated route or service classification used within the Tama Monorail system in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monorail Line
Target entity description: Monorail Line is a designated route or service classification used within the Tama Monorail system in Japan.
  • A. Alweg Monorail
    The Alweg Monorail is an elevated monorail system in Seattle that became an iconic symbol of mid-20th-century futuristic transportation design.
  • B. Tama Monorail
    Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
  • C. Pink Line
    The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
  • D. Pink Line
    Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
  • E. Tokyo Monorail
    Tokyo Monorail is an urban transit line in Tokyo that provides rapid rail service between central Tokyo and Haneda Airport.
  • F. None of above. chosen

Provenance (5 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78fce9308190ac36512e80b06b52 completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd355bef508190894bd01ec39e83f6 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd37a7ea30819094b1c140868fab5f completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4f0055dc8190803a7c412533aec4 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:49 p.m.