Triple
T8917408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa's workshop |
E212325
|
entity |
| Predicate | typicalDepictionClimate |
P51674
|
FINISHED |
| Object | snowy Arctic environment |
—
|
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: snowy Arctic environment | Statement: [Santa's workshop, typicalDepictionClimate, snowy Arctic environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDepictionClimate Context triple: [Santa's workshop, typicalDepictionClimate, snowy Arctic environment]
-
A.
climatologicalType
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
B.
averageClimateDescription
chosen
Indicates the general or typical climate characteristics associated with an entity, often summarizing conditions like temperature and precipitation over time.
-
C.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
D.
climaticRole
Indicates the role or influence that something has on climate patterns or climatic conditions.
-
E.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.