Triple

T3042353
Position Surface form Disambiguated ID Type / Status
Subject Osaka Metro Tanimachi Line E83158 entity
Predicate ticketing P395 FINISHED
Object PiTaPa accepted E71901 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: PiTaPa accepted | Statement: [Osaka Metro Tanimachi Line, ticketing, PiTaPa accepted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PiTaPa accepted
Context triple: [Osaka Metro Tanimachi Line, ticketing, PiTaPa accepted]
  • A. PiTaPa chosen
    PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
  • B. accepts PASMO
    PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across Japan, particularly in the Tokyo metropolitan area.
  • C. Pagumen
    Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
  • D. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • E. Paisas
    Paisas are a culturally distinct group from Colombia’s Andean region, especially Antioquia, known for their entrepreneurial spirit, coffee-growing heritage, and characteristic Spanish accent.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b5d2a308190b4ce20efcae9b761 completed March 8, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded35e008190be7dd72aa7537a3b completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.