Triple

T6154396
Position Surface form Disambiguated ID Type / Status
Subject Keio fare system E137282 entity
Predicate compatibleICCardBrand P69490 FINISHED
Object nimoca E355484 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: nimoca | Statement: [Keio fare system, compatibleICCardBrand, nimoca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: nimoca
Context triple: [Keio fare system, compatibleICCardBrand, nimoca]
  • A. nimoca chosen
    nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
  • B. Kitaca
    Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
  • C. NMOC
    NMOC is an abbreviation commonly used for a Network Manager Operations Centre, a facility responsible for overseeing and coordinating network operations and performance.
  • D. Tama Monorail
    Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
  • E. Meitetsu
    Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060fca4cc8190bf95231cd2a594c1 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418195d8819092743f323430b9a8 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:17 p.m.