Triple

T21234814
Position Surface form Disambiguated ID Type / Status
Subject 磯崎 新 E523314 entity
Predicate 代表作 P4 FINISHED
Object つくばセンタービル
つくばセンタービルは、建築家・磯崎新が設計した茨城県つくば市の中心市街地に位置するポストモダン建築の複合施設です。
E1473903 NE FINISHED

How this triple was built (4 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: つくばセンタービル | Statement: [磯崎 新, 代表作, つくばセンタービル]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: つくばセンタービル
Context triple: [磯崎 新, 代表作, つくばセンタービル]
  • A. JR Central Towers
    JR Central Towers is a prominent skyscraper complex in Nagoya that houses offices, a hotel, and commercial facilities above and around Nagoya Station.
  • B. Shinjuku Center Building
    Shinjuku Center Building is a prominent high-rise office skyscraper in Tokyo’s Shinjuku business district, known for its distinctive modern architecture and panoramic city views.
  • C. Sony Building
    Sony Building, formerly known as Sony Tower, is a prominent commercial skyscraper associated with Sony that serves as an office and showcase space for the company’s products and brand.
  • D. Matsushita IMP Building
    Matsushita IMP Building is a prominent multi-purpose commercial and office skyscraper located in Osaka’s Osaka Business Park district.
  • E. Tokyo Center
    Tokyo Center is an urban satellite campus of Kansai University located in Tokyo, primarily used for specialized programs, research activities, and academic exchanges.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: つくばセンタービル
Triple: [磯崎 新, 代表作, つくばセンタービル]
Generated description
つくばセンタービルは、建築家・磯崎新が設計した茨城県つくば市の中心市街地に位置するポストモダン建築の複合施設です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: つくばセンタービル
Target entity description: つくばセンタービルは、建築家・磯崎新が設計した茨城県つくば市の中心市街地に位置するポストモダン建築の複合施設です。
  • A. JR Central Towers
    JR Central Towers is a prominent skyscraper complex in Nagoya that houses offices, a hotel, and commercial facilities above and around Nagoya Station.
  • B. Shinjuku Center Building
    Shinjuku Center Building is a prominent high-rise office skyscraper in Tokyo’s Shinjuku business district, known for its distinctive modern architecture and panoramic city views.
  • C. Sony Building
    Sony Building, formerly known as Sony Tower, is a prominent commercial skyscraper associated with Sony that serves as an office and showcase space for the company’s products and brand.
  • D. Matsushita IMP Building
    Matsushita IMP Building is a prominent multi-purpose commercial and office skyscraper located in Osaka’s Osaka Business Park district.
  • E. Tokyo Center
    Tokyo Center is an urban satellite campus of Kansai University located in Tokyo, primarily used for specialized programs, research activities, and academic exchanges.
  • F. None of above. chosen

Provenance (5 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7351f0e988190bb77b598cb8a9532 completed April 21, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986edbed88190885fc8cb47b9739a completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a098915325c8190bb956070b2714c95 completed May 17, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_6a098a24f1948190aada13777f829700 completed May 17, 2026, 9:28 a.m.
Created at: April 16, 2026, 3:46 p.m.