Triple

T10268444
Position Surface form Disambiguated ID Type / Status
Subject Teppan Edo E240771 entity
Predicate near P350 FINISHED
Object Tokyo Dining E240772 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: Tokyo Dining | Statement: [Teppan Edo, near, Tokyo Dining]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Dining
Context triple: [Teppan Edo, near, Tokyo Dining]
  • A. Tokyo Dining chosen
    Tokyo Dining is a Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World, known for its sushi and contemporary Japanese cuisine.
  • B. Tokyo Chiken
    Tokyo Chiken is the commonly used abbreviated name for the Tokyo District Public Prosecutors Office, a key prosecutorial authority in Japan’s capital.
  • C. Tokyo Solamachi
    Tokyo Solamachi is a large shopping, dining, and entertainment complex located at the base of Tokyo Skytree in Tokyo, Japan.
  • D. Tokyo Round
    The Tokyo Round was a major series of multilateral trade negotiations under the General Agreement on Tariffs and Trade (GATT) during the 1970s that aimed to reduce tariffs and address non-tariff barriers to international trade.
  • E. Yo! Sushi
    Yo! Sushi is a UK-based restaurant chain known for its conveyor-belt served Japanese-inspired dishes, particularly sushi.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d27033c081908721f6f8568059f2 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f80c25888190a3e8a2c513df7043 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:34 a.m.