Triple
T37609259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier Noir |
E935741
|
entity |
| Predicate | hasGlaciologicalFeature |
P49182
|
FINISHED |
| Object | heavy supraglacial debris cover |
—
|
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: heavy supraglacial debris cover | Statement: [Glacier Noir, hasGlaciologicalFeature, heavy supraglacial debris cover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlaciologicalFeature Context triple: [Glacier Noir, hasGlaciologicalFeature, heavy supraglacial debris cover]
-
A.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
B.
hasGlacialLandforms
Indicates that an entity possesses or contains landforms that were created or shaped by glacial activity.
-
C.
hasGlacialLake
Indicates that one entity possesses, contains, or is associated with a lake formed by glacial activity.
-
D.
isGlaciologicallyRelatedTo
chosen
Indicates a relationship where two entities are connected through glaciological processes, features, or phenomena (such as ice dynamics, glacial formation, movement, or melt).
-
E.
isGlacialLake
Indicates that a body of water is classified as a glacial lake, formed by the action or presence of glaciers.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.