Triple
T7744781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mineral, Virginia |
E175598
|
entity |
| Predicate | earthquakeMagnitude2011 |
P5297
|
FINISHED |
| Object | 5.8 moment magnitude |
—
|
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: 5.8 moment magnitude | Statement: [Mineral, Virginia, earthquakeMagnitude2011, 5.8 moment magnitude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earthquakeMagnitude2011 Context triple: [Mineral, Virginia, earthquakeMagnitude2011, 5.8 moment magnitude]
-
A.
earthquakeMagnitude
chosen
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
B.
notableAftershockMagnitude
Indicates that the magnitude value corresponds to a particularly significant or noteworthy aftershock following a main seismic event.
-
C.
populationImpact2010Earthquake
Indicates the effect or consequences that the 2010 earthquake had on a population, such as changes in size, distribution, or demographic characteristics.
-
D.
earthquakeDamageLevel2010
Indicates the severity or extent of damage caused by earthquakes in the year 2010.
-
E.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
- 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_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. |
Created at: March 27, 2026, 4:07 p.m.