Triple
T21834087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊東豊雄 |
E539073
|
entity |
| Predicate | 代表作 |
P4
|
FINISHED |
| Object | せんだいメディアテーク |
—
|
NE NERFINISHED |
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: せんだいメディアテーク | Statement: [伊東豊雄, 代表作, せんだいメディアテーク]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: せんだいメディアテーク Context triple: [伊東豊雄, 代表作, せんだいメディアテーク]
-
A.
Sendai Mediatheque
chosen
Sendai Mediatheque is a renowned contemporary cultural and media center in Sendai, Japan, celebrated for its innovative transparent architecture by Toyo Ito and its libraries, galleries, and public event spaces.
-
B.
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。
-
C.
Yomiuri Land
Yomiuri Land is a large amusement park in Inagi, Tokyo, known for its roller coasters, seasonal illuminations, and family-friendly attractions.
-
D.
Makuhari Messe
Makuhari Messe is a major convention and exhibition center in Chiba, Japan, known for hosting large-scale trade shows, concerts, and events.
-
E.
Ginza Sony Park
Ginza Sony Park is an experimental, open-concept public space and cultural hub in Tokyo’s Ginza district, created by Sony to host interactive exhibitions, events, and retail experiences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a5eeb88190b58b5b6d363cd6e3 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.