Triple
T11853571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokosuka |
E281970
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Mikasa Park |
E389482
|
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: Mikasa Park | Statement: [Yokosuka, hasAttraction, Mikasa Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikasa Park Context triple: [Yokosuka, hasAttraction, Mikasa Park]
-
A.
Mikasa Park
chosen
Mikasa Park is a seaside public park in Yokosuka, Kanagawa, Japan, best known for preserving the historic battleship Mikasa as a museum ship and memorial.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
D.
Rakujuen Park
Rakujuen Park is a historic Japanese garden and public park in Mishima, Shizuoka Prefecture, known for its scenic ponds, traditional landscaping, and views of Mount Fuji.
-
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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167c9d4e88190bfaadada0450e639 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 8, 2026, 9:43 p.m.