Triple
T3687717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta |
E78263
|
entity |
| Predicate | hasPolarNight |
P34128
|
FINISHED |
| Object | yes in winter |
—
|
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: yes in winter | Statement: [Alta, hasPolarNight, yes in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolarNight Context triple: [Alta, hasPolarNight, yes in winter]
-
A.
seasonOfPolarNight
chosen
Indicates the season during which a location experiences continuous or near-continuous polar night (absence of direct sunlight for an extended period).
-
B.
hasPermafrost
Indicates that a location or area contains ground that remains continuously frozen (permafrost) for an extended period.
-
C.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
D.
hasSnowIn
Indicates that snow is present or occurs within a specified location or region.
-
E.
hasColdPhase
Indicates that an entity undergoes or includes a period or stage characterized by low temperature or cold conditions.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.