Triple

T3372388
Position Surface form Disambiguated ID Type / Status
Subject Minato E70984 entity
Predicate knownFor P22 FINISHED
Object Roppongi Hills E265883 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: Roppongi Hills | Statement: [Minato, knownFor, Roppongi Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roppongi Hills
Context triple: [Minato, knownFor, Roppongi Hills]
  • A. Roppongi Hills chosen
    Roppongi Hills is a large urban redevelopment complex in Tokyo known for its skyscrapers, upscale shops, restaurants, offices, residences, and the Mori Art Museum.
  • B. Shibuya Mark City
    Shibuya Mark City is a large commercial complex in Tokyo’s Shibuya district, featuring offices, a hotel, and a shopping and dining mall directly connected to Shibuya Station.
  • C. Roppongi
    Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
  • D. Shibuya Hikarie
    Shibuya Hikarie is a major high-rise commercial complex in Tokyo known for its shopping, dining, cultural facilities, and direct connection to Shibuya Station.
  • E. Shibuya Sky
    Shibuya Sky is a popular open-air observation deck in Tokyo offering panoramic views of the Shibuya district and the city skyline.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bc9bc881908b22edd631a1c110 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.