Triple
T11857737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Byrd Land volcanic province |
E282080
|
entity |
| Predicate | hasHeatSource |
P38384
|
FINISHED |
| Object | mantle upwelling |
—
|
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: mantle upwelling | Statement: [Marie Byrd Land volcanic province, hasHeatSource, mantle upwelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeatSource Context triple: [Marie Byrd Land volcanic province, hasHeatSource, mantle upwelling]
-
A.
heatSource
chosen
Indicates that one entity serves as a source of heat or heating for another entity.
-
B.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
-
C.
hasPlatformHeaters
Indicates that a platform is equipped with heaters to provide warmth or prevent ice and snow accumulation.
-
D.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
E.
heatingMethod
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.