Triple

T3411392
Position Surface form Disambiguated ID Type / Status
Subject PiTaPa E71901 entity
Predicate compatibleWith P203 FINISHED
Object SUGOCA E355483 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: SUGOCA | Statement: [PiTaPa, compatibleWith, SUGOCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SUGOCA
Context triple: [PiTaPa, compatibleWith, 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. 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.
  • C. Gari
    Gari is a celebrated Kannada literary work by the renowned poet D. R. Bendre.
  • D. Bugotu
    Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
  • E. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • 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_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_69b3546a73988190aeee83c090aa0bcf completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.