Triple
T32754594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khvanchkara village |
E837587
|
entity |
| Predicate | wineSweetnessProduced |
P175075
|
FINISHED |
| Object | semi-sweet |
—
|
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: semi-sweet | Statement: [Khvanchkara village, wineSweetnessProduced, semi-sweet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineSweetnessProduced Context triple: [Khvanchkara village, wineSweetnessProduced, semi-sweet]
-
A.
sparklingWineSweetnessRange
Indicates the range of sweetness levels that a sparkling wine can have or is classified within.
-
B.
sweetWinePermitted
Indicates that the consumption or use of sweet wine is allowed under the specified conditions or rules.
-
C.
producesWine
Indicates that one entity creates or manufactures wine as a product.
-
D.
grapesVinifiedAt
Indicates that grapes were processed and turned into wine at a specific location or facility.
-
E.
hasSherrySweetness
Indicates that one entity possesses or exhibits the sweetness characteristic associated with sherry.
- F. None of above. chosen
Provenance (4 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:12 a.m.