Triple
T19512124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balaton wine region |
E488180
|
entity |
| Predicate | lakeInfluence |
P99666
|
FINISHED |
| Object | temperature moderation |
—
|
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: temperature moderation | Statement: [Balaton wine region, lakeInfluence, temperature moderation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeInfluence Context triple: [Balaton wine region, lakeInfluence, temperature moderation]
-
A.
lakeEffect
chosen
Indicates a weather phenomenon where a large lake modifies passing air masses, typically enhancing precipitation or altering local atmospheric conditions downwind of the lake.
-
B.
affectsWaterBody
Indicates that one entity has an impact on the condition, quality, or state of a water body.
-
C.
lakeOrigin
Indicates that a lake originates from, is formed by, or has its source in a specified geographic or hydrological feature.
-
D.
mouthLake
Indicates the location where a river or stream flows into and forms part of a lake.
-
E.
hasLakes
Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359908fc8190bd05f26d4271d268 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.