Triple
T32495721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echinus Geyser |
E830516
|
entity |
| Predicate | hasEruptionNoise |
P105661
|
FINISHED |
| Object | loud splashing and roaring sounds |
—
|
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: loud splashing and roaring sounds | Statement: [Echinus Geyser, hasEruptionNoise, loud splashing and roaring sounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEruptionNoise Context triple: [Echinus Geyser, hasEruptionNoise, loud splashing and roaring sounds]
-
A.
hasEruptionVolume
Indicates the relationship between a volcanic eruption event and the measured volume of material it releases.
-
B.
eruptionTrigger
Indicates that one event, condition, or action causes or initiates an eruption of another entity or system.
-
C.
eruptionPhenomena
chosen
Indicates the specific observable events or manifestations that occur during a volcanic eruption.
-
D.
eruptionVolcano
Indicates that a volcanic eruption event is occurring at or is associated with a specific volcano.
-
E.
eruptionPotential
Indicates the likelihood or capacity of something (typically a volcano or similar system) to erupt under given conditions.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:59 a.m.