Triple

T21451444
Position Surface form Disambiguated ID Type / Status
Subject Kyoto-Kawaramachi Station E529217 entity
Predicate locatedNear P294 FINISHED
Object Kawaramachi-dori 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: Kawaramachi-dori | Statement: [Kyoto-Kawaramachi Station, locatedNear, Kawaramachi-dori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawaramachi-dori
Context triple: [Kyoto-Kawaramachi Station, locatedNear, Kawaramachi-dori]
  • A. Kawaramachi-dori chosen
    Kawaramachi-dori is a major north–south shopping and entertainment street in central Kyoto, Japan, known for its bustling commercial district and proximity to key downtown landmarks.
  • B. Karasuma-dori
    Karasuma-dori is a major north–south avenue in Kyoto, Japan, known as one of the city’s primary business and transportation corridors.
  • C. Shijo-dori
    Shijo-dori is one of Kyoto’s main east–west streets, famous for its bustling shopping areas and as a central route through the historic Gion district.
  • D. Nakamachi-dori
    Nakamachi-dori is a historic street in Matsumoto known for its preserved traditional kura-style buildings, shops, and cafes that evoke the atmosphere of old Japan.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d33e648190864b0ef5acf36659 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.