Triple

T15380823
Position Surface form Disambiguated ID Type / Status
Subject Imazato Station (Osaka Metro) E367792 entity
Predicate fareCardAccepted P9955 FINISHED
Object PiTaPa 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 | Statement: [Imazato Station (Osaka Metro), fareCardAccepted, PiTaPa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PiTaPa
Context triple: [Imazato Station (Osaka Metro), fareCardAccepted, PiTaPa]
  • 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. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • C. Pesa
    The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • D. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5996408190afab2221d38e0027 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.