Triple
T19270647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minoh |
E481913
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Minoh Park |
—
|
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: Minoh Park | Statement: [Minoh, hasAttraction, Minoh Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minoh Park Context triple: [Minoh, hasAttraction, Minoh Park]
-
A.
Minoh Park
chosen
Minoh Park is a scenic natural area in Minoh, Japan, known for its forested walking trails, autumn foliage, and picturesque waterfall.
-
B.
Hikarigaoka Park
Hikarigaoka Park is a large urban green space in Tokyo known for its expansive lawns, cherry blossoms, and recreational facilities.
-
C.
Suminoe Park
Suminoe Park is a public recreational park located in Osaka’s Suminoe Ward, known for its green spaces, sports facilities, and community amenities.
-
D.
Nogeyama Park
Nogeyama Park is a public green space in Yokohama known for its scenic views, seasonal flowers, and proximity to the Nogeyama Zoo.
-
E.
Kairakuen Park
Kairakuen Park is a famous Japanese landscape garden renowned for its vast plum tree groves and seasonal flower displays, considered one of Japan’s three great gardens.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb8bea08190b5c65eebe67dccbb |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.