Triple

T12441111
Position Surface form Disambiguated ID Type / Status
Subject Rabbit Card E297271 entity
Predicate acceptedOn P40249 FINISHED
Object BTS Skytrain E61481 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: BTS Skytrain | Statement: [Rabbit Card, acceptedOn, BTS Skytrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BTS Skytrain
Context triple: [Rabbit Card, acceptedOn, BTS Skytrain]
  • A. BTS Skytrain chosen
    The BTS Skytrain is an elevated rapid transit system that serves as one of Bangkok’s primary urban rail networks, helping alleviate traffic congestion and connect key commercial and residential areas across the city.
  • B. BTS Silom Line
    The BTS Silom Line is a major elevated rapid transit line in Bangkok, Thailand, running through key commercial and residential districts as part of the city's BTS Skytrain system.
  • C. SkyTrain
    SkyTrain is an automated, driverless rapid transit system serving the Metro Vancouver region in British Columbia, Canada.
  • D. KL Monorail
    KL Monorail is an elevated urban rail line in Kuala Lumpur that provides rapid transit service through the city’s central and commercial districts.
  • E. Bangkok rail transit network
    The Bangkok rail transit network is an integrated urban rail system in Bangkok, Thailand, comprising multiple rapid transit, commuter, and airport rail lines that connect key districts and surrounding areas.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8ecb6c8190a19cbf9de31cabbd completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d254888190a22453aede711491 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:55 p.m.