Triple
T21834113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊東豊雄 |
E539073
|
entity |
| Predicate | 関係する都市 |
P25162
|
FINISHED |
| Object | 台中 |
—
|
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: 台中 | Statement: [伊東豊雄, 関係する都市, 台中]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 台中 Context triple: [伊東豊雄, 関係する都市, 台中]
-
A.
高雄市
高雄市は台湾南部に位置する港湾都市で、工業・貿易の拠点として発展しつつ観光や文化面でも知られる直轄市である。
-
B.
嘉義市
嘉義市 is a county-level city in southwestern Taiwan known for its cultural heritage, historic sites, and role as a gateway to the Alishan scenic area.
-
C.
新竹市
新竹市 is a city in northern Taiwan known for its high-tech industry hub, particularly the Hsinchu Science Park, and its strong education and research institutions.
-
D.
臺北市
臺北市是臺灣的首都與最大都會區之一,為國家的政治、經濟、文化與交通中心。
-
E.
Taichung
chosen
Taichung is a major city in central Taiwan known for its cultural attractions, mild climate, and role as an important economic and transportation hub.
- 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.