Triple

T15324480
Position Surface form Disambiguated ID Type / Status
Subject House of Akishino E366373 entity
Predicate residence P75 FINISHED
Object Akasaka Estate E79598 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: Akasaka Estate | Statement: [House of Akishino, residence, Akasaka Estate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akasaka Estate
Context triple: [House of Akishino, residence, Akasaka Estate]
  • A. Akasaka East Residence
    Akasaka East Residence is a notable residential building within Tokyo’s prestigious Akasaka district, known for its upscale urban living and proximity to major business and entertainment areas.
  • B. Akasaka Estate, Tokyo chosen
    Akasaka Estate in Tokyo is a prominent imperial property that serves as the official residence of several members of the Japanese Imperial Family, including Aiko, Princess Toshi.
  • C. Roppongi Hills
    Roppongi Hills is a large urban redevelopment complex in Tokyo known for its skyscrapers, upscale shops, restaurants, offices, residences, and the Mori Art Museum.
  • D. Aka Akasaka
    Aka Akasaka is a Japanese manga artist and writer best known for creating the hit romantic comedy series "Kaguya-sama: Love Is War."
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd5ce0c819093c9a14de549dff6 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e9d14c8190bb095d6d5c8ffd6e completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.