Triple

T1081048
Position Surface form Disambiguated ID Type / Status
Subject Kokugakuin University E23945 entity
Predicate hasCampusIn P4623 FINISHED
Object Shibuya, Tokyo E3985 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: Shibuya, Tokyo | Statement: [Kokugakuin University, hasCampusIn, Shibuya, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya, Tokyo
Context triple: [Kokugakuin University, hasCampusIn, Shibuya, Tokyo]
  • A. Shibuya, Tokyo, Japan chosen
    Shibuya, Tokyo, Japan is a major commercial and entertainment district of Tokyo known for its busy scramble crossing, youth culture, and fashion scene.
  • B. Harajuku
    Harajuku is a vibrant Tokyo district famous for its youth culture, eclectic street fashion, and trendy shopping and entertainment spots.
  • C. Shinjuku, Tokyo, Japan
    Shinjuku, Tokyo, Japan is a major commercial and administrative center of Tokyo known for its busy railway station, skyscraper district, and vibrant nightlife areas like Kabukicho.
  • D. Toshima, Tokyo
    Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
  • E. Shinagawa, Tokyo, Japan
    Shinagawa is a major commercial and transportation hub in southern Tokyo, known for its busy railway station, high-rise office buildings, and waterfront developments along Tokyo Bay.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b946af788190b400644a2dec68c3 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0b527dc819085f7b3ff85170e16 completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 7:42 p.m.