Triple
T11305377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siberian Traps large igneous province volcanism |
E267700
|
entity |
| Predicate | emplacedVolumeOfMagma |
P81467
|
FINISHED |
| Object | millions of cubic kilometers |
—
|
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: millions of cubic kilometers | Statement: [Siberian Traps large igneous province volcanism, emplacedVolumeOfMagma, millions of cubic kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emplacedVolumeOfMagma Context triple: [Siberian Traps large igneous province volcanism, emplacedVolumeOfMagma, millions of cubic kilometers]
-
A.
magmaticVolume
chosen
Indicates the amount of magma involved or produced in a magmatic process or event.
-
B.
hasEruptionVolume
Indicates the relationship between a volcanic eruption event and the measured volume of material it releases.
-
C.
tephraVolume
Indicates the amount of volcanic tephra produced or present, typically expressed as a measurable volume.
-
D.
hasMagmaComposition
Indicates that something possesses or is characterized by a specific magma composition.
-
E.
isStratovolcanoComposedOf
Indicates that a stratovolcano is made up of, or constructed from, a particular material or set of materials.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a7255c81909675fe9ad6d71934 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.