Triple
T35908258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauna Ulu eruption |
E1038532
|
entity |
| Predicate | maxLavaFountainHeight |
P183961
|
FINISHED |
| Object | about 540 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: about 540 meters | Statement: [Mauna Ulu eruption, maxLavaFountainHeight, about 540 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxLavaFountainHeight Context triple: [Mauna Ulu eruption, maxLavaFountainHeight, about 540 meters]
-
A.
maximumHeightOfWaterJets
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
B.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
C.
flameHeight
Indicates the vertical extent or height reached by a flame during burning.
-
D.
lavaTemperature
Indicates the temperature value associated with lava in a given context or state.
-
E.
hasLavaFlow
Indicates that one entity exhibits, contains, or is associated with a flow of lava originating from volcanic activity.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:07 p.m.