Triple
T37044670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grímsvötn |
E916872
|
entity |
| Predicate | iceCoverThickness |
P29933
|
FINISHED |
| Object | up to several hundred meters of ice |
—
|
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: up to several hundred meters of ice | Statement: [Grímsvötn, iceCoverThickness, up to several hundred meters of ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceCoverThickness Context triple: [Grímsvötn, iceCoverThickness, up to several hundred meters of ice]
-
A.
typicalIceThickness
chosen
Indicates the usual or characteristic thickness of ice under normal or representative conditions.
-
B.
iceSheetsCovered
Indicates that ice sheets extended over and covered a particular area or surface.
-
C.
iceSheetCoverage
Indicates the extent or proportion of an area that is covered by an ice sheet.
-
D.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
E.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.