Triple

T23003534
Position Surface form Disambiguated ID Type / Status
Subject Tokyu Bus E572696 entity
Predicate brand P1500 FINISHED
Object Tokyu Bus — NE NERFINISHED

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: Tokyu Bus | Statement: [Tokyu Bus, brand, Tokyu Bus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tokyu Bus
Context triple: [Tokyu Bus, brand, Tokyu Bus]
  • A. Tokyu Bus chosen
    Tokyu Bus is a Japanese bus operator providing local and intercity bus services primarily in the Tokyo and Kanagawa areas.
  • B. Odakyu Bus
    Odakyu Bus is a Japanese bus company operating local and highway bus services, primarily in the Tokyo and Kanagawa areas, as part of the Odakyu Group’s transportation network.
  • C. Nishitetsu Bus
    Nishitetsu Bus is a major Japanese bus operator based in Fukuoka, known for providing extensive urban and intercity bus services across the Kyushu region.
  • D. Meitetsu Bus
    Meitetsu Bus is a Japanese bus company operating local and intercity routes, primarily serving the Nagoya and Chubu regions as part of the Meitetsu Group’s transportation network.
  • E. Nagoya City Bus
    Nagoya City Bus is the municipal bus network serving Nagoya, Japan, providing local and inter-district public transportation throughout the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183549bdc81908fdcd44e2c92f7c4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.