Triple

T23064098
Position Surface form Disambiguated ID Type / Status
Subject Tachibana Station E574983 entity
Predicate ticketingSystem P3383 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: [Tachibana Station, ticketingSystem, Hayakaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayakaken
Context triple: [Tachibana Station, ticketingSystem, 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_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.