Triple
T10662493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelico |
E251260
|
entity |
| Predicate | synonymUsageContext |
P29199
|
FINISHED |
| Object | used as an alternative name in some wine regions |
—
|
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: used as an alternative name in some wine regions | Statement: [Angelico, synonymUsageContext, used as an alternative name in some wine regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: synonymUsageContext Context triple: [Angelico, synonymUsageContext, used as an alternative name in some wine regions]
-
A.
synonym
Indicates that two terms have the same or nearly the same meaning in a given context.
-
B.
usedInformallyAlongside
Indicates that something is employed in an informal, non-standard way together with or in addition to something else.
-
C.
termAlsoUsedFor
Indicates that one term is also used to refer to the same or closely related concept as another term.
-
D.
linguisticUsage
chosen
Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
-
E.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e018d1e881909b8e62682104e842 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:08 p.m.