Triple
T5849860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōten Kōkyūjo |
E130000
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 皇典講究所 |
E538226
|
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: 皇典講究所 | Statement: [Kōten Kōkyūjo, hasJapaneseName, 皇典講究所]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 皇典講究所 Context triple: [Kōten Kōkyūjo, hasJapaneseName, 皇典講究所]
-
A.
皇典講究所
chosen
皇典講究所 was a Meiji-era Japanese research and educational institute devoted to the study of Shinto classics and national learning, which later evolved into Kokugakuin University.
-
B.
敬宮
敬宮 is the courtesy name of Princess Aiko, the only child of Emperor Naruhito and Empress Masako of Japan.
-
C.
Academia Sinica
Academia Sinica is Taiwan’s national academy and leading research institution, renowned for its advanced work across the natural sciences, humanities, and social sciences.
-
D.
皇居
皇居は、日本の天皇と皇室の公的な居所および宮中行事の中心となる東京都千代田区に位置する宮殿・庭園の総称である。
-
E.
National Palace Museum
The National Palace Museum is a major museum in Taipei renowned for its vast collection of Chinese imperial art and historical artifacts spanning thousands of years.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03515dc0c81908797a9713f1a603f |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b052288190ace51e65f1d888ab |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.