Triple
T1269257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascadia Subduction Zone |
E15671
|
entity |
| Predicate | lastKnownGreatEarthquakeMagnitude |
P5297
|
FINISHED |
| Object | approximately 9.0 |
—
|
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: approximately 9.0 | Statement: [Cascadia Subduction Zone, lastKnownGreatEarthquakeMagnitude, approximately 9.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastKnownGreatEarthquakeMagnitude Context triple: [Cascadia Subduction Zone, lastKnownGreatEarthquakeMagnitude, approximately 9.0]
-
A.
earthquakeMagnitude
chosen
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
B.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
-
C.
earthquakeDate
Indicates the specific calendar date on which an earthquake event occurred.
-
D.
facedMajorEarthquake
Indicates that an entity has experienced or been subjected to a significant or severe earthquake event.
-
E.
lastEruption
Indicates the time or event corresponding to the most recent eruption associated with a given entity.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c03aaa8c8190bacb7de5a38329da |
completed | March 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.