Triple
T10521041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musashino |
E248168
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Inokashira Park |
E652629
|
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: Inokashira Park | Statement: [Musashino, hasPark, Inokashira Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inokashira Park Context triple: [Musashino, hasPark, Inokashira Park]
-
A.
Inokashira Onshi Park
chosen
Inokashira Onshi Park is a popular public park in Tokyo known for its central pond with boat rentals, cherry blossoms, and the nearby Ghibli Museum.
-
B.
Setagaya Park
Setagaya Park is a public green space in Tokyo’s Setagaya ward, known for its recreational facilities and local community use.
-
C.
Maruyama Park
Maruyama Park is a popular public park in Sapporo, Japan, known for its cherry blossoms, sports facilities, and proximity to Hokkaido Shrine and Mount Maruyama.
-
D.
Maruyama Park
Maruyama Park is a famous public park in Kyoto, Japan, especially known for its cherry blossoms and traditional atmosphere.
-
E.
Hikarigaoka Park
Hikarigaoka Park is a large urban green space in Tokyo known for its expansive lawns, cherry blossoms, and recreational facilities.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dec25881909bc748640f26a416 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e119fe4819085e5c1c6e71e6260 |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:28 p.m.