Triple
T8354591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ontake |
E196652
|
entity |
| Predicate | casualtiesIn2014Eruption |
P82247
|
FINISHED |
| Object | over 60 deaths |
—
|
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: over 60 deaths | Statement: [Mount Ontake, casualtiesIn2014Eruption, over 60 deaths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casualtiesIn2014Eruption Context triple: [Mount Ontake, casualtiesIn2014Eruption, over 60 deaths]
-
A.
2014EruptionAffectedCountries
Indicates that a country was affected in some way by the volcanic eruption that occurred in 2014.
-
B.
1919EruptionDeathTollApprox
Indicates an approximate number of deaths caused by a volcanic eruption that occurred in 1919.
-
C.
eruptionImpact
Indicates the effects or consequences that a volcanic eruption has on surrounding entities, environments, or systems.
-
D.
eruptionObserved
Indicates that an eruption event has been witnessed, detected, or recorded by an observer or observing system.
-
E.
lastEruptionImpact
Indicates the effect or consequences resulting from the most recent volcanic eruption.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8048edb88190a1980ad74818b898 |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:59 p.m.