Triple
T30950329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanajavesi |
E788519
|
entity |
| Predicate | hasIceCoverPeriod |
P22448
|
FINISHED |
| Object | typically winter months |
—
|
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: typically winter months | Statement: [Vanajavesi, hasIceCoverPeriod, typically winter months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIceCoverPeriod Context triple: [Vanajavesi, hasIceCoverPeriod, typically winter months]
-
A.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
B.
hasTypicalIceRegime
chosen
Indicates that there is a characteristic or commonly occurring pattern of ice conditions associated with the referenced entity.
-
C.
hasSeaIce
Indicates that one entity possesses, contains, or is covered by sea ice in relation to another context or location.
-
D.
hasSeasonalSnowCover
Indicates that an entity is covered by snow during certain seasons or periods of the year, rather than permanently.
-
E.
hasSeasonalSeaIce
Indicates that a body of water is covered by sea ice only during certain seasons or times of the year.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:53 p.m.