Triple

T11315350
Position Surface form Disambiguated ID Type / Status
Subject Nonthaburi Province E267950 entity
Predicate hasTransport P1298 FINISHED
Object MRT Purple Line E302126 NE FINISHED

How this triple was built (2 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 Purple Line | Statement: [Nonthaburi Province, hasTransport, MRT Purple Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRT Purple Line
Context triple: [Nonthaburi Province, hasTransport, MRT Purple Line]
  • A. MRT Purple Line chosen
    The MRT Purple Line is a mass rapid transit route in Bangkok, Thailand, serving as one of the city's key urban rail corridors.
  • B. 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.
  • C. 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.
  • D. MRT Blue Line
    The MRT Blue Line is a major rapid transit route in Bangkok’s Metropolitan Rapid Transit system, serving as one of the city’s primary underground and elevated rail corridors.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a9e66588190b71e0f60133a8995 completed April 19, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:32 p.m.