Triple

T3411343
Position Surface form Disambiguated ID Type / Status
Subject ICOCA E71900 entity
Predicate compatibleWith P203 FINISHED
Object nimoca
nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
 E355484 NE FINISHED

How this triple was built (4 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: [ICOCA, compatibleWith, nimoca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: nimoca
Context triple: [ICOCA, compatibleWith, nimoca]
  • A. NMOC
    NMOC is an abbreviation commonly used for a Network Manager Operations Centre, a facility responsible for overseeing and coordinating network operations and performance.
  • B. Tama Monorail
    Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
  • C. 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.
  • D. NOK
    NOK is the official currency code for the Norwegian krone, the national currency of Norway.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: nimoca
Triple: [ICOCA, compatibleWith, nimoca]
Generated description
nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: nimoca
Target entity description: nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
  • A. NMOC
    NMOC is an abbreviation commonly used for a Network Manager Operations Centre, a facility responsible for overseeing and coordinating network operations and performance.
  • B. Tama Monorail
    Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
  • C. 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.
  • D. NOK
    NOK is the official currency code for the Norwegian krone, the national currency of Norway.
  • 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. chosen

Provenance (5 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb90a76288190b92ef3b26638cd47 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdf81e48190abac8ea645e929ce completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4972008190af3b84f26b4a3629 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc6c3f88190ba1a08243232df05 completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.