Triple
T17828780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikawa Subprefecture |
E445192
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Farm Tomita |
—
|
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: Farm Tomita | Statement: [Kamikawa Subprefecture, contains, Farm Tomita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farm Tomita Context triple: [Kamikawa Subprefecture, contains, Farm Tomita]
-
A.
Farm Tomita
chosen
Farm Tomita is a famous flower farm in Furano, Hokkaido, best known for its expansive lavender fields and picturesque seasonal flower displays.
-
B.
Tomomi
Tomomi is a Japanese given name that can be used for people of any gender.
-
C.
Tomoyuki
Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
-
D.
Tatsumi
Tatsumi is a residential and waterfront area in Kōtō Ward, Tokyo, known for its housing complexes, sports facilities, and proximity to Tokyo Bay.
-
E.
Tatsumi
Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.