Triple
T17399190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obihiro Racecourse |
E423040
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Obihiro |
—
|
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: Obihiro | Statement: [Obihiro Racecourse, locatedIn, Obihiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obihiro Context triple: [Obihiro Racecourse, locatedIn, Obihiro]
-
A.
Obihiro
chosen
Obihiro is a mid-sized city in eastern Hokkaido, Japan, known for its agricultural production, horse racing, and cold, snowy winters.
-
B.
Hiyoshimaru
Hiyoshimaru was the childhood name of Kinoshita Tōkichirō, who later became the famed Japanese warlord Toyotomi Hideyoshi.
-
C.
Nariakira
Nariakira is a Japanese given name that has been borne by various notable individuals in Japan.
-
D.
Fumimaro
Fumimaro was a Japanese nobleman and politician who served multiple terms as Prime Minister of Japan in the years leading up to and during the early stages of World War II.
-
E.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abf7ea08190a9d9f9358e3bb684 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.