Triple
T22978884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wazuka |
E571402
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Uji tea |
—
|
NE NERFINISHED |
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: Uji tea | Statement: [Wazuka, knownFor, Uji tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uji tea Context triple: [Wazuka, knownFor, Uji tea]
-
A.
Uji tea
chosen
Uji tea is a renowned Japanese green tea celebrated for its high quality and long history of production in the Uji region near Kyoto.
-
B.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
C.
Sayama tea
Sayama tea is a high-quality Japanese green tea from the Sayama region of Saitama Prefecture, renowned for its rich flavor and thick, full-bodied leaves.
-
D.
Rize tea
Rize tea is a famous Turkish black tea variety grown in the Rize province along the Black Sea coast, known for its strong flavor and deep color.
-
E.
Tea
Tea is a widely consumed beverage made by steeping processed leaves of the Camellia sinensis plant in hot water, known for its variety of flavors, caffeine content, and cultural significance worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18293f830819095cca91af7abd742 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.