Triple
T30832894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Unzen |
E785271
|
entity |
| Predicate | deadliestModernEruptionInJapan |
P170547
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mount Unzen, deadliestModernEruptionInJapan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deadliestModernEruptionInJapan Context triple: [Mount Unzen, deadliestModernEruptionInJapan, true]
-
A.
deadliestEarthquakeUntil
Indicates that one earthquake was the most lethal (had caused the highest number of deaths) of all earthquakes up to a specified point in time.
-
B.
lastEruption
Indicates the time or event corresponding to the most recent eruption associated with a given entity.
-
C.
lastEruptionEndYear
Indicates the calendar year in which the most recent volcanic eruption concluded.
-
D.
deadliestRailAccidentInJapanSince
Indicates that a rail accident is the most lethal one in Japan occurring on or after a specified date or event.
-
E.
lastMajorEruptionIncludes
Indicates that the specified event or time period is part of, or falls within, the volcano’s most recent major 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6913c10f881909fee1f70a4fe9ad0 |
completed | May 3, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68fb914b88190b0cad83ea9fe9dfc |
completed | May 2, 2026, 11:58 p.m. |
Created at: April 29, 2026, 8:44 p.m.