Triple
T8876466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shukugawa River |
E211297
|
entity |
| Predicate | hasParkAlong |
P1007
|
FINISHED |
| Object | Shukugawa Park |
E169941
|
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: Shukugawa Park | Statement: [Shukugawa River, hasParkAlong, Shukugawa Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shukugawa Park Context triple: [Shukugawa River, hasParkAlong, Shukugawa Park]
-
A.
Shukugawa Park
chosen
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Tsukisamu Park
Tsukisamu Park is a large public park in Sapporo, Japan, known for its expansive green spaces, sports facilities, and seasonal recreational activities.
-
D.
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.
-
E.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61472cc081909e51b4a35a20ef43 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd082bbe88190a207d39f9295735e |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:52 p.m.