Triple

T9191317
Position Surface form Disambiguated ID Type / Status
Subject 黒川紀章 E220593 entity
Predicate 代表作 P4 FINISHED
Object ナゴヤシティタワー55
ナゴヤシティタワー55は、建築家・黒川紀章が手がけた名古屋市にある高層複合ビルで、その近未来的なデザインで知られる建築作品である。
E783953 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: ナゴヤシティタワー55 | Statement: [黒川紀章, 代表作, ナゴヤシティタワー55]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ナゴヤシティタワー55
Context triple: [黒川紀章, 代表作, ナゴヤシティタワー55]
  • A. Yokohama Landmark Tower
    Yokohama Landmark Tower is a prominent skyscraper in Yokohama, Japan, known for its height, office and hotel facilities, and observation deck offering panoramic city and bay views.
  • B. Nagoya TV Tower
    Nagoya TV Tower is a historic steel observation and broadcasting tower in central Nagoya, Japan, known as a prominent city landmark and tourist attraction.
  • C. Shinjuku Park Tower
    Shinjuku Park Tower is a prominent high-rise complex in Tokyo known for its distinctive tiered design and housing the Park Hyatt Tokyo hotel.
  • D. Shinjuku L Tower
    Shinjuku L Tower is a high-rise office building located in the Shinjuku district of Tokyo, Japan.
  • E. Abeno Harukas
    Abeno Harukas is a 300-meter-tall skyscraper in Osaka, Japan, known as one of the country's tallest buildings and a major commercial, cultural, and observation complex.
  • 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: ナゴヤシティタワー55
Triple: [黒川紀章, 代表作, ナゴヤシティタワー55]
Generated description
ナゴヤシティタワー55は、建築家・黒川紀章が手がけた名古屋市にある高層複合ビルで、その近未来的なデザインで知られる建築作品である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ナゴヤシティタワー55
Target entity description: ナゴヤシティタワー55は、建築家・黒川紀章が手がけた名古屋市にある高層複合ビルで、その近未来的なデザインで知られる建築作品である。
  • A. Yokohama Landmark Tower
    Yokohama Landmark Tower is a prominent skyscraper in Yokohama, Japan, known for its height, office and hotel facilities, and observation deck offering panoramic city and bay views.
  • B. Nagoya TV Tower
    Nagoya TV Tower is a historic steel observation and broadcasting tower in central Nagoya, Japan, known as a prominent city landmark and tourist attraction.
  • C. Shinjuku Park Tower
    Shinjuku Park Tower is a prominent high-rise complex in Tokyo known for its distinctive tiered design and housing the Park Hyatt Tokyo hotel.
  • D. Shinjuku L Tower
    Shinjuku L Tower is a high-rise office building located in the Shinjuku district of Tokyo, Japan.
  • E. Abeno Harukas
    Abeno Harukas is a 300-meter-tall skyscraper in Osaka, Japan, known as one of the country's tallest buildings and a major commercial, cultural, and observation complex.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bf25c081909e651b67ef8ecc33 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cda59f88190bcde5a91aec2f9dd completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.