Triple

T2786657
Position Surface form Disambiguated ID Type / Status
Subject MRT subway E61825 entity
Predicate hasLine P35 FINISHED
Object MRT Dark Red Line
MRT Dark Red Line is a mass rapid transit route on the MRT subway system, serving as one of its primary urban rail lines.
 E316664 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: MRT Dark Red Line | Statement: [MRT subway, hasLine, MRT Dark Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MRT Dark Red Line
Context triple: [MRT subway, hasLine, MRT Dark Red Line]
  • A. MRT Pink Line
    The MRT Pink Line is a mass rapid transit route in Bangkok’s elevated monorail network, serving suburban areas in the city’s northern and eastern corridors.
  • B. MRT Orange Line
    The MRT Orange Line is a rapid transit route in Bangkok’s Mass Rapid Transit system designed to connect key eastern and western parts of the city.
  • C. MRT Purple Line
    The MRT Purple Line is a mass rapid transit route in Bangkok, Thailand, serving as one of the city's key urban rail corridors.
  • D. MRT Yellow Line
    MRT Yellow Line is a mass rapid transit route typically designated by the color yellow, serving as one of the lines in an urban MRT subway network.
  • E. MRT Light Red Line
    The MRT Light Red Line is a commuter rail line in Bangkok’s Mass Rapid Transit network serving suburban areas to the north and west of the city.
  • 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: MRT Dark Red Line
Triple: [MRT subway, hasLine, MRT Dark Red Line]
Generated description
MRT Dark Red Line is a mass rapid transit route on the MRT subway system, serving as one of its primary urban rail lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MRT Dark Red Line
Target entity description: MRT Dark Red Line is a mass rapid transit route on the MRT subway system, serving as one of its primary urban rail lines.
  • A. MRT Pink Line
    The MRT Pink Line is a mass rapid transit route in Bangkok’s elevated monorail network, serving suburban areas in the city’s northern and eastern corridors.
  • B. MRT Orange Line
    The MRT Orange Line is a rapid transit route in Bangkok’s Mass Rapid Transit system designed to connect key eastern and western parts of the city.
  • C. MRT Purple Line
    The MRT Purple Line is a mass rapid transit route in Bangkok, Thailand, serving as one of the city's key urban rail corridors.
  • D. MRT Yellow Line
    MRT Yellow Line is a mass rapid transit route typically designated by the color yellow, serving as one of the lines in an urban MRT subway network.
  • E. MRT Light Red Line
    The MRT Light Red Line is a commuter rail line in Bangkok’s Mass Rapid Transit network serving suburban areas to the north and west of the city.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb0d3488190a3f2bf47ebb35802 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108c5319481909d3e1a237c3f661e completed March 11, 2026, 6:16 a.m.
NEDg Description generation batch_69b10d0e1b80819088ebfb828991dd15 completed March 11, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_69b10d888900819086fbefe5807afb3e completed March 11, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:57 p.m.