Triple
T11402770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karafuto Prefecture |
E270157
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Toyohara |
E769987
|
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: Toyohara | Statement: [Karafuto Prefecture, capital, Toyohara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyohara Context triple: [Karafuto Prefecture, capital, Toyohara]
-
A.
Toyohara
chosen
Toyohara was the former Japanese name for the city now known as Yuzhno-Sakhalinsk on Sakhalin Island.
-
B.
Katsukawa Shunshō
Katsukawa Shunshō was an 18th-century Japanese ukiyo-e artist and influential teacher known for his actor prints and for shaping the early development of masters like Hokusai.
-
C.
Tsuguharu
Tsuguharu is the given name of Tsuguharu Foujita, a renowned 20th-century Japanese–French painter associated with the École de Paris.
-
D.
Kuniyoshi Kuni
Kuniyoshi Kuni was a Japanese prince of the Kuni-no-miya collateral branch of the Imperial Family during the late Meiji and Taishō periods.
-
E.
Utagawa Toyohiro
Utagawa Toyohiro was a Japanese ukiyo-e artist of the Utagawa school, known for his prints and paintings and for mentoring the famed landscape artist Utagawa Hiroshige.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8014ab46881909fa1d425926c617b |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d244870819091e8331eb3bd792d |
completed | April 20, 2026, 2:19 a.m. |
Created at: April 8, 2026, 9:34 p.m.