Triple

T23064096
Position Surface form Disambiguated ID Type / Status
Subject Tachibana Station E574983 entity
Predicate ticketingSystem P3383 FINISHED
Object SUGOCA 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: SUGOCA | Statement: [Tachibana Station, ticketingSystem, SUGOCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SUGOCA
Context triple: [Tachibana Station, ticketingSystem, SUGOCA]
  • A. SUGOCA chosen
    SUGOCA is a rechargeable contactless smart card used for fare payment on public transportation and for electronic money transactions in parts of Japan.
  • B. Suicoke
    Suicoke is a Japanese footwear brand known for its high-quality, fashion-forward sandals and frequent collaborations with streetwear and luxury labels.
  • C. Matsumoto Bon Bon
    Matsumoto Bon Bon is a lively summer dance festival in Matsumoto, Japan, featuring large groups of participants performing choreographed routines through the city streets.
  • D. Konpon Chūdō
    Konpon Chūdō is the central and most important main hall of Enryaku-ji on Mount Hiei, serving as a core site of Tendai Buddhist worship and practice in Japan.
  • E. Kachidoki
    Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a1f49c81909db7e0473ec2bb1b completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.