Triple

T12808229
Position Surface form Disambiguated ID Type / Status
Subject MRT Pink Line E306199 entity
Predicate connectsWith P37 FINISHED
Object MRT Orange Line (planned) E308550 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 Orange Line (planned) | Statement: [MRT Pink Line, connectsWith, MRT Orange Line (planned)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRT Orange Line (planned)
Context triple: [MRT Pink Line, connectsWith, MRT Orange Line (planned)]
  • A. MRT Orange Line chosen
    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.
  • B. MRT Line 6
    MRT Line 6 is the inaugural mass rapid transit corridor of Dhaka, Bangladesh, forming the backbone of the city’s emerging metro rail network.
  • C. MRT Line 7
    MRT Line 7 is a rapid transit line under development in Metro Manila, Philippines, intended to connect Quezon City with the city of San Jose del Monte in Bulacan.
  • D. 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.
  • E. 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.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec6556081909375fada79ddcb8c completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.