Triple
T24039710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamb Ice Stream |
E595336
|
entity |
| Predicate | hasSubglacialEnvironment |
P154629
|
FINISHED |
| Object | subglacial till |
—
|
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: subglacial till | Statement: [Kamb Ice Stream, hasSubglacialEnvironment, subglacial till]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubglacialEnvironment Context triple: [Kamb Ice Stream, hasSubglacialEnvironment, subglacial till]
-
A.
hasSubglacialLake
Indicates that a glacier or ice sheet contains a lake of liquid water located beneath its ice.
-
B.
hasGlacialEnvironment
Indicates that an entity exists in, is associated with, or is characterized by a glacial or glacier-influenced environment.
-
C.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
D.
hasCryosphereComponent
Indicates that something includes, is associated with, or is composed of a component belonging to the cryosphere (frozen water elements such as ice, snow, or permafrost).
-
E.
hasGlacialLandforms
Indicates that an entity possesses or contains landforms that were created or shaped by glacial activity.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d7a51c8190b108a4f862843209 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:57 p.m.