Triple

T2786666
Position Surface form Disambiguated ID Type / Status
Subject MRT subway E61825 entity
Predicate connectsWith P37 FINISHED
Object Airport Rail Link E61482 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: Airport Rail Link | Statement: [MRT subway, connectsWith, Airport Rail Link]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport Rail Link
Context triple: [MRT subway, connectsWith, Airport Rail Link]
  • A. Airport Rail Link chosen
    The Airport Rail Link is a rapid transit rail line in Bangkok that connects the city center with Suvarnabhumi Airport, providing a fast alternative to road travel.
  • B. SRT high-speed rail
    SRT high-speed rail is a South Korean high-speed train service operated by SR Corporation that runs on the Gyeongbu and Honam high-speed lines as an alternative to KTX.
  • C. Light RailLink
    Light RailLink is a light rail transit system in the Baltimore metropolitan area that provides north–south rail service through the city and its suburbs.
  • D. AA train
    The AA train was a former New York City Subway service designation that preceded and was eventually replaced by the modern C train.
  • E. Tokaido Shinkansen
    The Tokaido Shinkansen is Japan’s pioneering high-speed rail line connecting Tokyo with Osaka and other major cities, renowned for its speed, punctuality, and heavy passenger usage.
  • 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_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_69afc6526d0c81908df1710709cc5346 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.