Triple
T16222315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1746 Lima–Callao earthquake |
E393757
|
entity |
| Predicate | seismicType |
P28044
|
FINISHED |
| Object | megathrust earthquake |
—
|
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: megathrust earthquake | Statement: [1746 Lima–Callao earthquake, seismicType, megathrust earthquake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seismicType Context triple: [1746 Lima–Callao earthquake, seismicType, megathrust earthquake]
-
A.
earthquakeType
chosen
Indicates the specific classification or category of an earthquake based on its characteristics or cause.
-
B.
seismicEvent
Indicates the occurrence of a naturally or artificially induced ground-shaking event, such as an earthquake or tremor, at a specific place and time.
-
C.
seismicSignificance
Indicates the degree to which something is relevant, influential, or important in the context of seismic activity or earthquake-related phenomena.
-
D.
seismicityCause
Indicates that one factor or event is the cause or source of observed seismic activity in another context or location.
-
E.
hasSeismicBehavior
Indicates that an entity exhibits or is characterized by a particular type or pattern of seismic activity or response.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fcf058819099d5ff965cc2c267 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.