Triple
T13217553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Chuck Glacier |
E314658
|
entity |
| Predicate | primaryAccumulation |
P108567
|
FINISHED |
| Object | snowfall |
—
|
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: snowfall | Statement: [White Chuck Glacier, primaryAccumulation, snowfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAccumulation Context triple: [White Chuck Glacier, primaryAccumulation, snowfall]
-
A.
primaryFormation
Indicates that one entity serves as the main or original formation or structural configuration associated with another entity.
-
B.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
-
C.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
-
D.
primaryDistribution
Indicates that one entity serves as the main or principal channel through which another entity is distributed or allocated.
-
E.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:18 p.m.