Triple
T37061294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宇治市 |
E917330
|
entity |
| Predicate | 有名な産品 |
P139886
|
FINISHED |
| Object | 宇治茶 |
—
|
LITERAL 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: 宇治茶 | Statement: [宇治市, 有名な産品, 宇治茶]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 有名な産品 Context triple: [宇治市, 有名な産品, 宇治茶]
-
A.
significantProduct
chosen
Indicates that one entity is an especially important, impactful, or noteworthy product of another entity or process.
-
B.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
C.
notableProductType
Indicates that an entity is particularly well-known or distinguished for producing or offering a specific type of product.
-
D.
notableYouthProduct
Indicates that the subject is a product that is particularly significant, popular, or influential among young people.
-
E.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
- F. None of above.
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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.