Triple

T16124333
Position Surface form Disambiguated ID Type / Status
Subject Jōzankei Onsen E391226 entity
Predicate nearbyCity P350 FINISHED
Object Otaru E78621 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: Otaru | Statement: [Jōzankei Onsen, nearbyCity, Otaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otaru
Context triple: [Jōzankei Onsen, nearbyCity, Otaru]
  • A. Otaru chosen
    Otaru is a historic port city in northern Japan known for its picturesque canal, preserved Meiji- and Taishō-era architecture, and fresh seafood.
  • B. Ominato
    Ominato is a Japanese naval base town in Aomori Prefecture known for hosting a major Maritime Self-Defense Force garrison.
  • C. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • D. Shiki
    Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • E. Nishikatsura
    Nishikatsura is a small town in Yamanashi Prefecture, Japan, known for its scenic views of Mount Fuji and traditional textile industry.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020342988190add65c784b8ee179 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a9db848190bafb959bd7511246 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.