Triple
T24039730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamb Ice Stream |
E595336
|
entity |
| Predicate | hasResearchImportanceFor |
P129098
|
FINISHED |
| Object | Antarctic ice mass balance |
—
|
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: Antarctic ice mass balance | Statement: [Kamb Ice Stream, hasResearchImportanceFor, Antarctic ice mass balance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchImportanceFor Context triple: [Kamb Ice Stream, hasResearchImportanceFor, Antarctic ice mass balance]
-
A.
hasResearchImportance
Indicates that something holds significance or value within a research context, such as contributing meaningfully to scientific or scholarly investigation.
-
B.
hasScientificInterestIn
Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
-
C.
hasResearchValueIn
chosen
Indicates that something possesses significance, usefulness, or potential contribution within a specified research area, context, or domain.
-
D.
appliesResearchTo
Indicates that an entity uses or implements research findings, methods, or insights in relation to another entity, context, or problem.
-
E.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
- 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_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. |
Created at: April 17, 2026, 9:57 p.m.