Triple
T14188717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norris Glacier |
E351650
|
entity |
| Predicate | hasSnowLine |
P101052
|
FINISHED |
| Object | elevation-dependent accumulation area |
—
|
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: elevation-dependent accumulation area | Statement: [Norris Glacier, hasSnowLine, elevation-dependent accumulation area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSnowLine Context triple: [Norris Glacier, hasSnowLine, elevation-dependent accumulation area]
-
A.
snowLine
chosen
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
B.
hasSnowIn
Indicates that snow is present or occurs within a specified location or region.
-
C.
hasSnowfield
Indicates that an entity possesses, contains, or is characterized by a snow-covered field or area.
-
D.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
E.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:03 a.m.