Triple
T12355081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山下公園 |
E294589
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Yamashita Park |
E327891
|
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: Yamashita Park | Statement: [山下公園, romanization, Yamashita Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamashita Park Context triple: [山下公園, romanization, Yamashita Park]
-
A.
Yamashita Park
chosen
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
-
B.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
C.
Toyohira Park
Toyohira Park is a public green space in Sapporo, Japan, known for its recreational facilities, walking paths, and seasonal scenery enjoyed by local residents and visitors.
-
D.
Tokiwa Park
Tokiwa Park is a scenic public park in Asahikawa, Japan, known for its ponds, walking paths, and seasonal flower displays.
-
E.
Ohori Park
Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b90779881909893d1e6877ce567 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:54 p.m.