Triple

T5676976
Position Surface form Disambiguated ID Type / Status
Subject 國學院大學 E125108 entity
Predicate city P40 FINISHED
Object 渋谷区 E275204 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: 渋谷区 | Statement: [國學院大學, city, 渋谷区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 渋谷区
Context triple: [國學院大學, city, 渋谷区]
  • A. Shibuya-ku chosen
    Shibuya-ku is a major commercial and entertainment ward in central Tokyo, Japan, known for its bustling shopping districts, nightlife, and the iconic Shibuya Crossing.
  • B. Meguro Ward
    Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
  • C. Setagaya
    Setagaya is a large residential ward in western Tokyo, Japan, known for its suburban neighborhoods, parks, and role as a commuter area for central Tokyo.
  • D. Shinagawa
    Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
  • E. Chūō-ku
    Chūō-ku is a central ward of Osaka, Japan, known as a major commercial and entertainment hub featuring famous landmarks, shopping streets, and nightlife areas.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02392f9f481908f7b80873589eff1 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a3211b08190868811db3d5268b1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:43 p.m.