Triple
T24151565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raikō-tō |
E598548
|
entity |
| Predicate | lastEruptionEffect |
P28560
|
FINISHED |
| Object | large ash plume |
—
|
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: large ash plume | Statement: [Raikō-tō, lastEruptionEffect, large ash plume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastEruptionEffect Context triple: [Raikō-tō, lastEruptionEffect, large ash plume]
-
A.
lastEruption
Indicates the time or event corresponding to the most recent eruption associated with a given entity.
-
B.
lastEruptionImpact
chosen
Indicates the effect or consequences resulting from the most recent volcanic eruption.
-
C.
lastEruptionCharacter
Indicates the defining nature or distinguishing features of the most recent eruption event associated with an entity.
-
D.
lastEruptionsFrom
Indicates that one entity represents the most recent eruption events originating from another entity.
-
E.
lastNotableEruptions
Indicates the most recent significant eruption events associated with a volcano or volcanic feature.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e108308190ba8740590a1c5130 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.