Triple
T2851211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Cascades National Park |
E63095
|
entity |
| Predicate | numberOfGlaciers |
P43415
|
FINISHED |
| Object | over 300 glaciers |
—
|
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: over 300 glaciers | Statement: [North Cascades National Park, numberOfGlaciers, over 300 glaciers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGlaciers Context triple: [North Cascades National Park, numberOfGlaciers, over 300 glaciers]
-
A.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
B.
notableGlacier
Indicates that the subject is a glacier recognized for its particular significance, prominence, or noteworthiness.
-
C.
glaciersStatus
Indicates the current condition or state of glaciers, such as their size, stability, or rate of change.
-
D.
numberOfIceSheets
Indicates the count of distinct ice sheets associated with or present in relation to a given entity.
-
E.
glacierType
Indicates the specific classification or category of a glacier based on its form, dynamics, or setting.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5ca2648190bd32c6ec4b0dd3b6 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:02 p.m.