Triple
T13864857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier de Trient |
E333295
|
entity |
| Predicate | hasTypeOfSnowAndIce |
P45704
|
FINISHED |
| Object | temperate glacier ice |
—
|
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: temperate glacier ice | Statement: [Glacier de Trient, hasTypeOfSnowAndIce, temperate glacier ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfSnowAndIce Context triple: [Glacier de Trient, hasTypeOfSnowAndIce, temperate glacier ice]
-
A.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
B.
hasSnowAndIceSource
Indicates that something derives its origin, supply, or input from a source consisting of snow and ice.
-
C.
hasSnowType
chosen
Indicates that something possesses or is characterized by a particular type or category of snow.
-
D.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
E.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.