Triple
T1433023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Antarctica |
E30491
|
entity |
| Predicate | iceSheetGroundingLine |
P28448
|
FINISHED |
| Object | below sea level |
—
|
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: below sea level | Statement: [West Antarctica, iceSheetGroundingLine, below sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceSheetGroundingLine Context triple: [West Antarctica, iceSheetGroundingLine, below sea level]
-
A.
partOfIceSheetSystem
Indicates that one entity is a component or subsystem within a larger ice sheet system.
-
B.
iceSheetCoverage
Indicates the extent or proportion of an area that is covered by an ice sheet.
-
C.
hasIcebergs
Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
-
D.
waterIceLocation
Indicates the spatial location or presence of water ice relative to a specified place or object.
-
E.
numberOfIceSheets
Indicates the count of distinct ice sheets associated with or present in relation to a given entity.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69a4c4feea448190b2b5071b28a5b608 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.