Triple

T9823536
Position Surface form Disambiguated ID Type / Status
Subject Nakamise-dori E238595 entity
Predicate locatedIn P40 FINISHED
Object Taito, Tokyo E34802 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: Taito, Tokyo | Statement: [Nakamise-dori, locatedIn, Taito, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taito, Tokyo
Context triple: [Nakamise-dori, locatedIn, Taito, Tokyo]
  • A. 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.
  • B. Taikon
    Taikon is a Romani Swedish family name most prominently associated with activist and silversmith Rosa Taikon and her relatives.
  • C. Taitō chosen
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • D. Tairiku Datsū Sakusen
    Tairiku Datsū Sakusen was a major 1944 Japanese military offensive in China during World War II, aimed at securing railways, destroying U.S. air bases, and linking Japanese-held territories.
  • E. Tokamachi
    Tokamachi is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional textile industry, and scenic rural landscapes.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.