Triple

T11223569
Position Surface form Disambiguated ID Type / Status
Subject Aoyama area E265636 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 area, locatedIn, Shibuya, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya, Tokyo
Context triple: [Aoyama area, locatedIn, Shibuya, Tokyo]
  • A. Shinjuku, Tokyo
    Shinjuku, Tokyo is a major commercial and administrative center of Tokyo known for its busy railway station, skyscraper district, and vibrant nightlife areas like Kabukicho.
  • B. Shibuya
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • C. 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.
  • D. Nagatachō, Tokyo
    Nagatachō, Tokyo is a central district in Japan’s capital city that serves as the core of the national government, housing key institutions such as the National Diet and the Prime Minister’s office.
  • E. 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.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ec8fb08190b27144ab65f85957 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b795f7948190a0dd53e8e034fe58 completed April 20, 2026, 5:20 a.m.
Created at: April 8, 2026, 9:30 p.m.