Triple
T10014870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumamoto |
E199463
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Kumamon |
E628600
|
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: Kumamon | Statement: [Kumamoto, hasMascot, Kumamon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumamon Context triple: [Kumamoto, hasMascot, Kumamon]
-
A.
Kumamon
chosen
Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
-
B.
Kuromi
Kuromi is a mischievous yet cute Sanrio character, often depicted in a black jester’s hat with a pink skull, who serves as My Melody’s punk-styled rival.
-
C.
Okame
Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
-
D.
Konny
Konny is a diminutive form of the given name Konrad, commonly used as an affectionate nickname.
-
E.
Mar-kun
Mar-kun is one of the official mascots of the Japanese professional baseball team Chiba Lotte Marines, typically depicted as a cheerful seagull character supporting the club.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd49b19c8190b429e3533d072648 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a8f6f3081909310e28725d31f7e |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.