Triple
T23500060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirakata-kōen Station |
E571814
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Hirakata 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: Hirakata Park | Statement: [Hirakata-kōen Station, serves, Hirakata Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirakata Park Context triple: [Hirakata-kōen Station, serves, Hirakata Park]
-
A.
Hirakata Park
chosen
Hirakata Park is a long-running amusement park in Hirakata, Osaka Prefecture, Japan, featuring a variety of rides, seasonal events, and family-oriented attractions.
-
B.
Minooka Park
Minooka Park is a popular county park in Waukesha, Wisconsin, known for its wooded trails, swimming beach, and year-round outdoor recreation.
-
C.
Mizumoto Park
Mizumoto Park is a large riverside public park in Tokyo known for its expansive greenery, ponds, and popular iris garden.
-
D.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
-
E.
Aokicho Park
Aokicho Park is a local public park in Kawaguchi, Japan, offering green space and recreational facilities for neighborhood residents.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fb71c08190a30500b3f63a9ce6 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.