Triple
T2381613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzon caldera |
E46322
|
entity |
| Predicate | heatSource |
P38384
|
FINISHED |
| Object | shallow magma chamber |
—
|
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: shallow magma chamber | Statement: [Uzon caldera, heatSource, shallow magma chamber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heatSource Context triple: [Uzon caldera, heatSource, shallow magma chamber]
-
A.
heatFlow
Indicates the transfer of thermal energy from one entity or region to another due to a temperature difference.
-
B.
thermalPower
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
-
C.
emitsMoreEnergyThanItReceives
Indicates that the subject releases a greater amount of energy than it takes in from its surroundings or inputs.
-
D.
heatTransferMethod
Indicates the mechanism or process by which heat is transferred from one entity or system to another.
-
E.
usesThermals
Indicates that one entity relies on rising warm air currents (thermals) as a means to gain lift, move, or maintain altitude.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6f4245881909282b3184a288e2a |
completed | March 7, 2026, 6:34 a.m. |
Created at: March 4, 2026, 7:57 p.m.