Triple

T11081429
Position Surface form Disambiguated ID Type / Status
Subject Gotemba Trail E262002 entity
Predicate offersViewOf P3821 FINISHED
Object Gotemba City E1146869 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: Gotemba City | Statement: [Gotemba Trail, offersViewOf, Gotemba City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gotemba City
Context triple: [Gotemba Trail, offersViewOf, Gotemba City]
  • A. Gotemba City chosen
    Gotemba City is a Japanese city in Shizuoka Prefecture near the southeastern base of Mount Fuji, known as a gateway for climbing and tourism around the mountain.
  • B. Toda City
    Toda City is a municipality in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town within the Greater Tokyo metropolitan area.
  • C. Shiki City
    Shiki City is a suburban municipality in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
  • D. Kitanagoya
    Kitanagoya is a city in central Japan known as a residential and commercial suburb within the Nagoya metropolitan area.
  • E. Kasukabe
    Kasukabe is a city in Japan known for its suburban character within the Greater Tokyo area and as the setting of the popular manga and anime series "Crayon Shin-chan."
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799985650819089b2c0f35a212414 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef87fbf4c81909a6326f555eb5777 completed May 9, 2026, 9:03 a.m.
Created at: April 8, 2026, 9:27 p.m.