Triple
T21617018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna del Maule volcanic field |
E533469
|
entity |
| Predicate | hasGroundDeformation |
P72690
|
FINISHED |
| Object | rapid uplift |
—
|
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: rapid uplift | Statement: [Laguna del Maule volcanic field, hasGroundDeformation, rapid uplift]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGroundDeformation Context triple: [Laguna del Maule volcanic field, hasGroundDeformation, rapid uplift]
-
A.
deformationEvents
chosen
Indicates that one or more deformation-related events (such as changes in shape, structure, or integrity) occur to or are associated with the referenced entity.
-
B.
triggeredLandslides
Indicates that one entity caused or initiated landslides affecting another entity or area.
-
C.
isLandslide
Indicates that an event or condition involves a landslide, where a mass of earth or rock moves down a slope.
-
D.
hasEarthquakes
Indicates that the specified location or region experiences one or more earthquakes.
-
E.
hasGeologicalActivity
Indicates that an entity exhibits or is associated with ongoing or past geological processes such as volcanism, tectonics, or seismic activity.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bab865081908bc7d7b1824415ac |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.