Triple
T94632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tornado Alley (southern and central parts) |
E1901
|
entity |
| Predicate | primaryAirMassSource |
P410
|
FINISHED |
| Object | warm moist air from Gulf of Mexico |
—
|
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: warm moist air from Gulf of Mexico | Statement: [Tornado Alley (southern and central parts), primaryAirMassSource, warm moist air from Gulf of Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAirMassSource Context triple: [Tornado Alley (southern and central parts), primaryAirMassSource, warm moist air from Gulf of Mexico]
-
A.
sourceRegion
chosen
Indicates the geographic or spatial region from which something originates or is derived.
-
B.
majorRiverSource
Indicates that one entity is the primary originating source or headwaters location of a major river.
-
C.
sedimentSource
Indicates that one entity serves as the origin or provider of sediment that is transported to or deposited in another entity.
-
D.
primarySources
Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
-
E.
hasMainAtmosphericComponent
Indicates that one entity has another entity as the primary constituent of its atmosphere.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebb3da08190a8b82564f33cde3b |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.