Triple
T25096376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Kumamoto earthquakes |
E628599
|
entity |
| Predicate | aftershocksCount |
P84693
|
FINISHED |
| Object | thousands |
—
|
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: thousands | Statement: [2016 Kumamoto earthquakes, aftershocksCount, thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aftershocksCount Context triple: [2016 Kumamoto earthquakes, aftershocksCount, thousands]
-
A.
aftershockCount
chosen
Indicates the number of aftershocks that occur following a primary seismic event.
-
B.
aftershocks
Indicates that one seismic event occurs as a subsequent, typically smaller tremor following a main earthquake.
-
C.
numberOfMajorShocks
Indicates the count of significant or major shock events associated with an entity or situation.
-
D.
notableAftershockMagnitude
Indicates that the magnitude value corresponds to a particularly significant or noteworthy aftershock following a main seismic event.
-
E.
earthquakeCasualties
Indicates that an earthquake event resulted in a specified number or set of casualties (deaths and/or injuries).
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b9651481908d4d7584717f5c59 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:25 a.m.