Triple

T8781015
Position Surface form Disambiguated ID Type / Status
Subject Shibuya E208724 entity
Predicate contains P35 FINISHED
Object Jingumae E251908 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: Jingumae | Statement: [Shibuya, contains, Jingumae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jingumae
Context triple: [Shibuya, contains, Jingumae]
  • A. Yamadera
    Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
  • B. Gotemba
    Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
  • C. Yachimun
    Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
  • D. Kichijōji chosen
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • E. Kumagaya
    Kumagaya is a city in northern Saitama Prefecture, Japan, known for its hot summer temperatures and role as a regional commercial and transportation hub.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f55b7b08190ab3e18cd634a144b completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf890077a881908ebddefc36b978d1 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:42 p.m.