Triple
T35908271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauna Ulu eruption |
E1038532
|
entity |
| Predicate | volumeOfLava |
P81467
|
FINISHED |
| Object | approximately 350 million cubic meters |
—
|
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: approximately 350 million cubic meters | Statement: [Mauna Ulu eruption, volumeOfLava, approximately 350 million cubic meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeOfLava Context triple: [Mauna Ulu eruption, volumeOfLava, approximately 350 million cubic meters]
-
A.
areaCoveredByLava
Indicates that a specified region or surface is (or was) physically covered by lava.
-
B.
lavaTemperature
Indicates the temperature value associated with lava in a given context or state.
-
C.
magmaticVolume
chosen
Indicates the amount of magma involved or produced in a magmatic process or event.
-
D.
craterVolume
Indicates the measured or estimated three-dimensional space enclosed within a crater, typically quantifying the size of the depression formed by an impact or volcanic activity.
-
E.
lavaViscosity
Indicates the thickness or resistance to flow of lava in a volcanic or geological context.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa70d88c8190ace7c5cf23b135ea |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.