Triple

T6261502
Position Surface form Disambiguated ID Type / Status
Subject Cat Street E140309 entity
Predicate connectsArea P2564 FINISHED
Object Shibuya area E208724 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: Shibuya area | Statement: [Cat Street, connectsArea, Shibuya area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya area
Context triple: [Cat Street, connectsArea, Shibuya area]
  • A. Shinagawa Station area
    The Shinagawa Station area is a major commercial and transportation hub in Tokyo, known for its busy Shinkansen-connected railway terminal, high-rise offices, hotels, and shopping facilities.
  • B. Shibuya chosen
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • C. Roppongi
    Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
  • D. Iidabashi area
    The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
  • E. Suidobashi area
    Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06386a7b48190b032edd12078c5bc completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6caf09b408190b1133afa52668bfe completed March 27, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:25 p.m.