Triple
T16558674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 鶴舞地区 |
E402277
|
entity |
| Predicate | hasPrimaryInstitution |
P2227
|
FINISHED |
| Object | 名古屋大学 |
E11599
|
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: 名古屋大学 | Statement: [鶴舞地区, hasPrimaryInstitution, 名古屋大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 名古屋大学 Context triple: [鶴舞地区, hasPrimaryInstitution, 名古屋大学]
-
A.
Nagoya University
chosen
Nagoya University is a prestigious Japanese national research university known for its strong science and engineering programs and several Nobel Prize–winning scholars.
-
B.
Nagoya City University
Nagoya City University is a public university in Nagoya, Japan, known for its programs in medicine, pharmaceutical sciences, design, and humanities.
-
C.
近畿大学
近畿大学は、大阪府東大阪市に本部を置き、多数の学部とキャンパスを持つ日本の私立総合大学です。
-
D.
京都帝国大学
京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
-
E.
東京帝国大学
東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576bce0c819087ab36f7dec5c394 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067bcb698819092ede6ba4f8a4a2b |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.