Triple
T7195717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thwaites Glacier |
E168608
|
entity |
| Predicate | potentialSeaLevelContribution |
P8806
|
FINISHED |
| Object | over 60 centimeters if fully collapsed |
—
|
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: over 60 centimeters if fully collapsed | Statement: [Thwaites Glacier, potentialSeaLevelContribution, over 60 centimeters if fully collapsed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialSeaLevelContribution Context triple: [Thwaites Glacier, potentialSeaLevelContribution, over 60 centimeters if fully collapsed]
-
A.
hasMeltwaterContributionTo
Indicates that one entity contributes meltwater (from melting ice or snow) to another entity, such as a water body or hydrological system.
-
B.
seaLevelCharacteristic
chosen
Indicates a characteristic, property, or attribute specifically related to sea level.
-
C.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
D.
waterMassInfluence
Indicates how the presence, amount, or distribution of water mass affects or modifies another entity or system.
-
E.
elevationAboveWater
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e927709c81909edf6ee42fe7f833 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:51 p.m.