Triple

T11523316
Position Surface form Disambiguated ID Type / Status
Subject Shizuoka Prefecture E273220 entity
Predicate contains P35 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: [Shizuoka Prefecture, contains, Gotemba City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gotemba City
Context triple: [Shizuoka Prefecture, contains, 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. Okachimachi
    Okachimachi is a bustling commercial and shopping district in Tokyo known for its discount stores, jewelry shops, and proximity to Ueno.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe5eeba08190849171d079745d1a completed May 9, 2026, 11:08 p.m.
Created at: April 8, 2026, 9:37 p.m.