Triple
T15633522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokai segment |
E375878
|
entity |
| Predicate | earthquakePotentialMagnitude |
P111021
|
FINISHED |
| Object | around magnitude 8 class (model-based estimate) |
—
|
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: around magnitude 8 class (model-based estimate) | Statement: [Tokai segment, earthquakePotentialMagnitude, around magnitude 8 class (model-based estimate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earthquakePotentialMagnitude Context triple: [Tokai segment, earthquakePotentialMagnitude, around magnitude 8 class (model-based estimate)]
-
A.
earthquakeMagnitude
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
B.
earthquakeHazardLevel
Indicates the assessed degree of risk or potential impact from earthquakes associated with a given location or entity.
-
C.
hasEstimatedMagnitude
chosen
Indicates that an entity is associated with an approximate or calculated value representing its magnitude or size.
-
D.
earthquakeDamageLevel
Indicates the severity or extent of damage caused by an earthquake to a given subject.
-
E.
earthquakeMagnitudeRange
Indicates the range of magnitudes within which an earthquake’s measured strength falls.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.