Triple
T18135265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Asama |
E434118
|
entity |
| Predicate | 1783EruptionEffect |
P54277
|
FINISHED |
| Object | widespread famine in Japan |
—
|
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: widespread famine in Japan | Statement: [Mount Asama, 1783EruptionEffect, widespread famine in Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 1783EruptionEffect Context triple: [Mount Asama, 1783EruptionEffect, widespread famine in Japan]
-
A.
eruptionEffect
chosen
Indicates the impact or consequences that an eruption has on its surrounding environment, systems, or entities.
-
B.
eruptionTrigger
Indicates that one event, condition, or action causes or initiates an eruption of another entity or system.
-
C.
eruptionSeriesOf
Indicates a relationship where a specific volcanic eruption is a member event within a broader series or sequence of related eruptions.
-
D.
eruptionPhenomena
Indicates the specific observable events or manifestations that occur during a volcanic eruption.
-
E.
eruptionVolcano
Indicates that a volcanic eruption event is occurring at or is associated with a specific volcano.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0677088190aaf584882b3d74a1 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.