Triple
T23510703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岐阜市 |
E572412
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | 岐阜公園 |
E1576204
|
NE FINISHED |
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: 岐阜公園 | Statement: [岐阜市, hasAttraction, 岐阜公園]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 岐阜公園 Context triple: [岐阜市, hasAttraction, 岐阜公園]
-
A.
天王寺公園
天王寺公園 is a large public park in Osaka known for its zoo, museums, and green spaces surrounding the historic Shitennō-ji and Tennoji area.
-
B.
伊藤公記念公園
伊藤公記念公園は、日本初代内閣総理大臣・伊藤博文を顕彰するために整備された、銅像や記念碑などが設けられた歴史公園である。
-
C.
Kakamigahara Kōen
Kakamigahara Kōen is a public park in Kakamigahara, Japan, known as a local recreational and green space for residents and visitors.
-
D.
Gifu Park
chosen
Gifu Park is a public park in Gifu, Japan, known as a scenic cultural and historical area at the foot of Mount Kinka that serves as a gateway to Gifu Castle.
-
E.
Fuchu-no-Mori Park
Fuchu-no-Mori Park is a spacious public park in Fuchu, Tokyo, known for its seasonal flowers, open lawns, and recreational facilities for families and sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa7e99b081909620c4f951100023 |
completed | April 29, 2026, 6:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c827b417c8190b50687412133bb0b |
completed | May 19, 2026, 3:32 p.m. |
Created at: April 17, 2026, 6:07 p.m.