Triple

T12614266
Position Surface form Disambiguated ID Type / Status
Subject accepts PASMO E301210 entity
Predicate compatibleWith P203 FINISHED
Object PASMO commuter passes E132941 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: PASMO commuter passes | Statement: [accepts PASMO, compatibleWith, PASMO commuter passes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PASMO commuter passes
Context triple: [accepts PASMO, compatibleWith, PASMO commuter passes]
  • A. PASMO chosen
    PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across the Tokyo metropolitan area.
  • B. Suica
    Suica is a rechargeable contactless smart card issued by JR East that is widely used for train fares and electronic payments across Japan.
  • C. Keihan fare system
    The Keihan fare system is the ticketing and pricing structure used across the Keihan Electric Railway network in the Kansai region of Japan.
  • D. Kitaca
    Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
  • E. ICOCA
    ICOCA is a rechargeable contactless smart card used for fare payment on public transportation systems in the Kansai region of Japan.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c4f5b48190af76414ef678ba7c completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686b9d088190832d1f244e7aa924 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:12 p.m.