Triple

T22441174
Position Surface form Disambiguated ID Type / Status
Subject Super Urban Intelligent Card E554757 entity
Predicate interoperableWith P14647 FINISHED
Object Hayakaken 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: Hayakaken | Statement: [Super Urban Intelligent Card, interoperableWith, Hayakaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayakaken
Context triple: [Super Urban Intelligent Card, interoperableWith, Hayakaken]
  • A. Hayakaken chosen
    Hayakaken is a rechargeable contactless smart card used for public transportation in the Fukuoka area of Japan.
  • B. Yakouren
    Yakouren is a small town in northern Algeria’s Kabylie region, known for its forested mountain landscapes and Berber (Amazigh) cultural heritage.
  • C. Hayakita
    Hayakita is a town in Hokkaido, Japan, known as a small rural community situated near the city of Sapporo.
  • D. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • E. Warekena
    The Warekena are an Indigenous people of the Amazon region, primarily living along rivers in Brazil and Venezuela, known for their distinct Arawakan language and traditional riverine lifestyle.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae1f82881908a611f134eb03f3d completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.