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.