Triple
T14687526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayman Trough transform system |
E344947
|
entity |
| Predicate | isAssociatedWithSeismicity |
P12618
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cayman Trough transform system, isAssociatedWithSeismicity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAssociatedWithSeismicity Context triple: [Cayman Trough transform system, isAssociatedWithSeismicity, yes]
-
A.
seismicSignificance
Indicates the degree to which something is relevant, influential, or important in the context of seismic activity or earthquake-related phenomena.
-
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.
hasSeismicBehavior
Indicates that an entity exhibits or is characterized by a particular type or pattern of seismic activity or response.
-
D.
hasEarthquakes
chosen
Indicates that the specified location or region experiences one or more earthquakes.
-
E.
earthquakeSequence
Indicates a relationship where multiple earthquakes are linked as part of the same temporal or causal sequence of seismic events.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.