Triple

T11588024
Position Surface form Disambiguated ID Type / Status
Subject Meiji-dori E274802 entity
Predicate hasJunctionWith P1018 FINISHED
Object Aoyama-dori E323146 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: Aoyama-dori | Statement: [Meiji-dori, hasJunctionWith, Aoyama-dori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aoyama-dori
Context triple: [Meiji-dori, hasJunctionWith, Aoyama-dori]
  • A. Aoyama-dori chosen
    Aoyama-dori is a major thoroughfare in Tokyo’s Aoyama district, known for its upscale boutiques, modern architecture, and cultural landmarks.
  • B. Kappabashi-dori
    Kappabashi-dori is a famous Tokyo shopping street known for its many stores selling kitchenware, restaurant supplies, and realistic plastic food models.
  • 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. Nakamise-dori
    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.
  • E. Kokusai-dori
    Kokusai-dori is Naha’s main bustling shopping and entertainment street, famous for its shops, restaurants, and vibrant nightlife in Okinawa, Japan.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86df14048190ae8f6d8b11610079 completed April 26, 2026, 9:42 p.m.
Created at: April 8, 2026, 9:38 p.m.