Triple

T9191321
Position Surface form Disambiguated ID Type / Status
Subject 黒川紀章 E220593 entity
Predicate 代表作 P4 FINISHED
Object 高松シンボルタワー
高松シンボルタワーは、香川県高松市のウォーターフロントに建つオフィス・商業・文化施設が一体となった高層複合ビルである。
 E786068 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: 高松シンボルタワー | Statement: [黒川紀章, 代表作, 高松シンボルタワー]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 高松シンボルタワー
Context triple: [黒川紀章, 代表作, 高松シンボルタワー]
  • 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. Yokohama Marine Tower
    Yokohama Marine Tower is a prominent coastal observation tower and tourist attraction in Yokohama, Japan, offering panoramic views of the city and its harbor.
  • C. Fukuoka Tower
    Fukuoka Tower is a seaside skyscraper and observation tower in Fukuoka, Japan, known for its distinctive mirrored glass exterior and panoramic city and bay views.
  • D. 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.
  • E. 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。
  • 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: 高松シンボルタワー
Triple: [黒川紀章, 代表作, 高松シンボルタワー]
Generated description
高松シンボルタワーは、香川県高松市のウォーターフロントに建つオフィス・商業・文化施設が一体となった高層複合ビルである。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 高松シンボルタワー
Target entity description: 高松シンボルタワーは、香川県高松市のウォーターフロントに建つオフィス・商業・文化施設が一体となった高層複合ビルである。
  • 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. Yokohama Marine Tower
    Yokohama Marine Tower is a prominent coastal observation tower and tourist attraction in Yokohama, Japan, offering panoramic views of the city and its harbor.
  • C. Fukuoka Tower
    Fukuoka Tower is a seaside skyscraper and observation tower in Fukuoka, Japan, known for its distinctive mirrored glass exterior and panoramic city and bay views.
  • D. 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.
  • E. 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。
  • 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_69d065d5e81c8190b6687999a87fd559 completed April 4, 2026, 1:13 a.m.
NEDg Description generation batch_69d069ef58148190aa62cb78977356b6 completed April 4, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69d06a2444dc81908736cae191af4dd9 completed April 4, 2026, 1:32 a.m.
Created at: March 30, 2026, 7:24 p.m.