Triple
T16344466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boží Dar |
E396894
|
entity |
| Predicate | averageSnowCover |
P10513
|
FINISHED |
| Object | long winter season |
—
|
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: long winter season | Statement: [Boží Dar, averageSnowCover, long winter season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageSnowCover Context triple: [Boží Dar, averageSnowCover, long winter season]
-
A.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
B.
averageAnnualSnowfall
chosen
Indicates the typical amount of snow that falls in a given location over the course of a year, averaged across multiple years.
-
C.
hasSeasonalSnowCover
Indicates that an entity is covered by snow during certain seasons or periods of the year, rather than permanently.
-
D.
snowAccumulation
Indicates that snow has collected or built up on a surface or in a location over time.
-
E.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0c90e0819086f0a80a10cd79f3 |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.