Triple
T25778128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thwaites Glacier |
E649210
|
entity |
| Predicate | contributionToGlobalSeaLevelRise |
P8806
|
FINISHED |
| Object | significant |
—
|
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: significant | Statement: [Thwaites Glacier, contributionToGlobalSeaLevelRise, significant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributionToGlobalSeaLevelRise Context triple: [Thwaites Glacier, contributionToGlobalSeaLevelRise, significant]
-
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.
hasElevationRelativeToSeaLevel
Indicates the elevation or height of an entity measured relative to mean sea level.
-
E.
hasRiskLevelComparedToNearbySea
Indicates the relative level of risk an entity has when compared to the nearby sea, such as in terms of exposure, danger, or vulnerability.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 22, 2026, 5:35 a.m.