Triple

T1152063
Position Surface form Disambiguated ID Type / Status
Subject Aoyama Gakuin University E23697 entity
Predicate locatedIn P40 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: [Aoyama Gakuin University, locatedIn, Shibuya, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya, Tokyo
Context triple: [Aoyama Gakuin University, locatedIn, Shibuya, Tokyo]
  • A. Shibuya
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • B. 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.
  • C. Itabashi, Tokyo
    Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
  • D. Harajuku
    Harajuku is a vibrant Tokyo district famous for its youth culture, eclectic street fashion, and trendy shopping and entertainment spots.
  • E. 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.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8d2dd8819081c779d408c2651d completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69aeb39a387c8190b5c1f4876532e376 completed March 9, 2026, 11:48 a.m.
Created at: March 1, 2026, 7:44 p.m.