Triple
T16154366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakano, Tokyo, Japan |
E391998
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Nakano Kururun
Nakano Kururun is the official mascot character of Nakano, a ward in Tokyo, Japan, created to promote the area and represent its local charm.
|
E1203421
|
NE FINISHED |
How this triple was built (4 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: Nakano Kururun | Statement: [Nakano, Tokyo, Japan, hasMascot, Nakano Kururun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakano Kururun Context triple: [Nakano, Tokyo, Japan, hasMascot, Nakano Kururun]
-
A.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
B.
Yuki Kura
Yuki Kura is a Japanese actor known for his role in the historical drama series "Shogun."
-
C.
Kodama Naoko
Kodama Naoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
-
D.
Nijō Tsuruko
Nijō Tsuruko was a Japanese noblewoman of the Nijō family and the mother of Empress Shōken, consort of Emperor Meiji.
-
E.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nakano Kururun Triple: [Nakano, Tokyo, Japan, hasMascot, Nakano Kururun]
Generated description
Nakano Kururun is the official mascot character of Nakano, a ward in Tokyo, Japan, created to promote the area and represent its local charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nakano Kururun Target entity description: Nakano Kururun is the official mascot character of Nakano, a ward in Tokyo, Japan, created to promote the area and represent its local charm.
-
A.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
B.
Yuki Kura
Yuki Kura is a Japanese actor known for his role in the historical drama series "Shogun."
-
C.
Kodama Naoko
Kodama Naoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
-
D.
Nijō Tsuruko
Nijō Tsuruko was a Japanese noblewoman of the Nijō family and the mother of Empress Shōken, consort of Emperor Meiji.
-
E.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
- F. None of above. chosen
Provenance (5 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a45620819098ab5fa50e73e7a9 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018be4b8c8190b68001465b9af949 |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00198af20c819087cfa7d01b3afdec |
completed | May 10, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:01 a.m.