Triple

T7824283
Position Surface form Disambiguated ID Type / Status
Subject Top Deck E181206 entity
Predicate offersViewOf P3821 FINISHED
Object Shinjuku area E69504 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: Shinjuku area | Statement: [Top Deck, offersViewOf, Shinjuku area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinjuku area
Context triple: [Top Deck, offersViewOf, Shinjuku 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. Shinjuku chosen
    Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
  • C. Shibuya Fukuras area
    Shibuya Fukuras area is a major mixed-use urban complex in Tokyo’s Shibuya district, featuring offices, retail, and public spaces as part of the broader Shibuya Station transformation.
  • D. Roppongi
    Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
  • E. Akasaka
    Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa0abff08190b0245ceca5f20cae completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a715bbc8190923ef94ccf91c878 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:42 p.m.