Triple
T16431316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antarctic Ice Sheet |
E399075
|
entity |
| Predicate | potentialContributionToSeaLevelRise |
P28449
|
FINISHED |
| Object | about 58 meters if fully melted |
—
|
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: about 58 meters if fully melted | Statement: [Antarctic Ice Sheet, potentialContributionToSeaLevelRise, about 58 meters if fully melted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialContributionToSeaLevelRise Context triple: [Antarctic Ice Sheet, potentialContributionToSeaLevelRise, about 58 meters if fully melted]
-
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
Indicates a characteristic, property, or attribute specifically related to sea level.
-
C.
iceMassLossContributesTo
chosen
Indicates that the loss of ice mass plays a causal role in producing or increasing another effect, condition, or process.
-
D.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9dffe48190a23852f828af55d8 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.