Triple
T16993048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashima Kikō |
E412239
|
entity |
| Predicate | relatedWorkByAuthor |
P922
|
FINISHED |
| Object | Nozarashi Kikō |
E412238
|
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: Nozarashi Kikō | Statement: [Kashima Kikō, relatedWorkByAuthor, Nozarashi Kikō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nozarashi Kikō Context triple: [Kashima Kikō, relatedWorkByAuthor, Nozarashi Kikō]
-
A.
Nozarashi Kikō
chosen
Nozarashi Kikō is a travel diary by the Japanese haiku master Matsuo Bashō that blends prose and verse to chronicle his poetic journey through the countryside.
-
B.
Nakanokimi
Nakanokimi is a noblewoman in Murasaki Shikibu’s classic Japanese novel "The Tale of Genji," known as one of Kaoru’s principal love interests.
-
C.
Zakumi
Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
-
D.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
E.
Futsunushi
Futsunushi is a Japanese Shinto war and martial deity often associated with swords, military protection, and the subjugation of hostile lands.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d28535788190bdfcb6201a9024b5 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc16fbdc819095411a056b9942c3 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.