Triple
T4205629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Mazama |
E86175
|
entity |
| Predicate | ashFallDistribution |
P53967
|
FINISHED |
| Object | western North America |
—
|
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: western North America | Statement: [Mount Mazama, ashFallDistribution, western North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ashFallDistribution Context triple: [Mount Mazama, ashFallDistribution, western North America]
-
A.
ashFall
Indicates that ash is falling or being deposited from the air onto a location or object.
-
B.
fallsIn
Indicates that one entity is located within, contained by, or geographically/administratively included inside another entity.
-
C.
fallsOffAs
Indicates that one quantity decreases in value or intensity as another quantity increases or changes.
-
D.
fallsOn
Indicates that one entity descends due to gravity and comes to rest upon the surface of another entity.
-
E.
fallsDownBefore
Indicates that one event or entity moves downward or collapses prior in time to another specified event or entity.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03844314819092639ed7d6ef2c6e |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af0196716c81908b99193690630a29 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af021828208190beb6d1af367b5a65 |
completed | March 9, 2026, 5:23 p.m. |
Created at: March 9, 2026, 3:49 p.m.