Triple
T14625431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchū |
E343330
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object | Fuchū Forest 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: Fuchū Forest Park | Statement: [Fuchū, hasNotablePlace, Fuchū Forest Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuchū Forest Park Context triple: [Fuchū, hasNotablePlace, Fuchū Forest 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.
Negishi Forest Park
Negishi Forest Park is a spacious, tree-filled public park in Yokohama known for its walking paths, open lawns, and scenic views over the city.
-
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.
Sakura-no-Yama Park
Sakura-no-Yama Park is a popular scenic park near Narita International Airport known for its cherry blossoms and close-up views of airplanes taking off and landing.
-
E.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46a4a9081908472b0a542028a7f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb78c0308190908ba791fd8dc40e |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.