Triple

T20814619
Position Surface form Disambiguated ID Type / Status
Subject JR-P17 E512403 entity
Predicate ticketingICCardBrand P69490 FINISHED
Object TOICA 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: TOICA | Statement: [JR-P17, ticketingICCardBrand, TOICA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TOICA
Context triple: [JR-P17, ticketingICCardBrand, TOICA]
  • A. TOICA chosen
    TOICA is a rechargeable contactless smart card used for fare payment on trains and buses in the Nagoya area and other parts of Japan’s JR Central network.
  • B. TOCA
    TOCA is an architectural firm known for its role in designing major sports venues such as the Baku Olympic Stadium in Azerbaijan.
  • C. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • D. TIC TOC
    "TIC TOC" is a track by rapper 6ix9ine from his 2018 studio album *Dummy Boy*, known for its aggressive style and high-energy delivery.
  • E. Taito
    Taito is the pseudonym of Tetsuzō, under which he is known for his creative and professional work.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d4e43c8190aecce82a3f7e2de0 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:41 p.m.