Triple
T17241328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chōfu Airport |
E418503
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Musashino no Mori Park |
E1105567
|
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: Musashino no Mori Park | Statement: [Chōfu Airport, near, Musashino no Mori Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musashino no Mori Park Context triple: [Chōfu Airport, near, Musashino no Mori Park]
-
A.
Fuchu-no-Mori Park
chosen
Fuchu-no-Mori Park is a spacious public park in Fuchu, Tokyo, known for its seasonal flowers, open lawns, and recreational facilities for families and sports.
-
B.
Heiwa-no-Mori Park
Heiwa-no-Mori Park is a large public park in Tokyo known for its expansive greenery, sports and recreation facilities, and family-friendly open spaces.
-
C.
Rinshi-no-mori Park
Rinshi-no-mori Park is a wooded urban park in Tokyo known for its rich greenery, walking trails, and tranquil natural atmosphere amid the city.
-
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.
Ougimachi Park
Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e203ec88190a21f38cbb18a14fa |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f1511c8190b70cb37e713a406a |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.