Triple
T133269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Ocean |
E2696
|
entity |
| Predicate | hasSeaIceExtent |
P4991
|
FINISHED |
| Object | strongly seasonal |
—
|
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: strongly seasonal | Statement: [Southern Ocean, hasSeaIceExtent, strongly seasonal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaIceExtent Context triple: [Southern Ocean, hasSeaIceExtent, strongly seasonal]
-
A.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
B.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
C.
hasOceanCoverage
Indicates that a specified area or region is covered by ocean to a certain extent or proportion.
-
D.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
-
E.
hasPeakUsageInHemisphere
Indicates that the time period of highest usage or activity for something occurs within a specified hemisphere (e.g., Northern or Southern).
- F. None of above. chosen
Provenance (4 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257871b8c8190868838837c0058d6 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.