Triple

T15729313
Position Surface form Disambiguated ID Type / Status
Subject Akan Onsen E381298 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Akan Ainu Kotan E374541 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: Akan Ainu Kotan | Statement: [Akan Onsen, hasNearbyAttraction, Akan Ainu Kotan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akan Ainu Kotan
Context triple: [Akan Onsen, hasNearbyAttraction, Akan Ainu Kotan]
  • A. Akan Ainu Kotan chosen
    Akan Ainu Kotan is a traditional Ainu village and cultural site in Hokkaido, Japan, known for preserving and showcasing the indigenous Ainu people's heritage, crafts, and performances.
  • B. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • E. Fukusaki
    Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fcb4e4819097bd0591bbcc3b71 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.