Triple
T21834112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊東豊雄 |
E539073
|
entity |
| Predicate | 関係する都市 |
P25162
|
FINISHED |
| Object | 岐阜 |
—
|
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: 岐阜 | Statement: [伊東豊雄, 関係する都市, 岐阜]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 岐阜 Context triple: [伊東豊雄, 関係する都市, 岐阜]
-
A.
岐阜市
chosen
岐阜市 is the capital city of Gifu Prefecture in central Japan, known as a regional commercial hub with historical ties to samurai-era Gifu Castle and traditional cormorant fishing on the Nagara River.
-
B.
滋賀県
滋賀県は日本最大の湖である琵琶湖を中心に豊かな自然と歴史的景観を有する近畿地方の内陸県です。
-
C.
豊川市
豊川市 is a city in eastern Aichi Prefecture, Japan, known for Toyokawa Inari Shrine and its mix of industrial activity and rich historical culture.
-
D.
Gujo, Gifu Prefecture
Gujo is a mountainous city in central Gifu Prefecture, Japan, known for its clear rivers, traditional townscape, and the famous Gujo Odori dance festival.
-
E.
Gifu Prefecture
Gifu Prefecture is a landlocked region in central Japan’s Chūbu area, known for its mountainous terrain, traditional towns like Takayama, and the UNESCO-listed historic villages of Shirakawa-go.
- 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.