Triple

T19379245
Position Surface form Disambiguated ID Type / Status
Subject Takeshita-dori E484753 entity
Predicate hasRomanization P2508 FINISHED
Object Takeshita-dōri NE NERFINISHED

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: Takeshita-dōri | Statement: [Takeshita-dori, hasRomanization, Takeshita-dōri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeshita-dōri
Context triple: [Takeshita-dori, hasRomanization, Takeshita-dōri]
  • A. Showa-dōri
    Showa-dōri is a major thoroughfare in central Tokyo, Japan, running through key districts such as Chiyoda and Chūō and serving as an important urban traffic artery.
  • B. Nagahori-dori
    Nagahori-dori is a major east–west thoroughfare in central Osaka, Japan, known for running through busy commercial districts and connecting key shopping and entertainment areas.
  • C. Nakamise-dori chosen
    Nakamise-dori is the historic, souvenir- and snack-filled shopping street that leads up to Tokyo’s Senso-ji Temple and is one of the oldest commercial streets in Japan.
  • D. Yamate-dori
    Yamate-dori is a major arterial ring road in Tokyo, Japan, running north–south and connecting numerous key districts and highways across the city.
  • E. Kappabashi-dori
    Kappabashi-dori is a famous Tokyo shopping street known for its many stores selling kitchenware, restaurant supplies, and realistic plastic food models.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5e8e7081908bed3eee1eef4de2 completed April 20, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:35 p.m.