Triple
T7744881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Virginia Seismic Zone |
E175601
|
entity |
| Predicate | seismicWavePropagation |
P78477
|
FINISHED |
| Object | efficient in eastern North American crust |
—
|
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: efficient in eastern North American crust | Statement: [Central Virginia Seismic Zone, seismicWavePropagation, efficient in eastern North American crust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seismicWavePropagation Context triple: [Central Virginia Seismic Zone, seismicWavePropagation, efficient in eastern North American crust]
-
A.
seismicSignificance
Indicates the degree to which something is relevant, influential, or important in the context of seismic activity or earthquake-related phenomena.
-
B.
seismicDesign
Indicates that an entity is designed or engineered to withstand seismic activity or earthquake-related forces.
-
C.
seismicMoment
Indicates the relationship between an earthquake event and the total energy it releases, quantified as its seismic moment.
-
D.
seismicRetrofit
Indicates that an existing structure has been modified or strengthened to improve its performance and safety during seismic events such as earthquakes.
-
E.
appliedElasticReboundTheoryTo
Indicates that one entity used the elastic rebound theory as a framework or method to analyze, explain, or solve something involving another entity.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:07 p.m.