Triple
T1755769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Charlotte Fault |
E38542
|
entity |
| Predicate | notableEarthquakeMagnitude |
P5297
|
FINISHED |
| Object | about 8.1 Mw |
—
|
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: about 8.1 Mw | Statement: [Queen Charlotte Fault, notableEarthquakeMagnitude, about 8.1 Mw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEarthquakeMagnitude Context triple: [Queen Charlotte Fault, notableEarthquakeMagnitude, about 8.1 Mw]
-
A.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
-
B.
earthquakeMagnitude
chosen
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
C.
facedMajorEarthquake
Indicates that an entity has experienced or been subjected to a significant or severe earthquake event.
-
D.
earthquakeType
Indicates the specific classification or category of an earthquake based on its characteristics or cause.
-
E.
lastKnownGreatEarthquakeGenerated
Indicates that the referenced event is the most recent known great earthquake that produced or generated the associated effect or data.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.