Triple
T17292979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1960 Valdivia earthquake |
E419833
|
entity |
| Predicate | triggeredLiquefaction |
P126848
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1960 Valdivia earthquake, triggeredLiquefaction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triggeredLiquefaction Context triple: [1960 Valdivia earthquake, triggeredLiquefaction, true]
-
A.
triggeredLandslides
Indicates that one entity caused or initiated landslides affecting another entity or area.
-
B.
hasLiquefactionTrain
Indicates that a facility or site includes a specific liquefaction train unit used to convert gas into liquefied form.
-
C.
isLandslide
Indicates that an event or condition involves a landslide, where a mass of earth or rock moves down a slope.
-
D.
triggered
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
E.
hasLahars
Indicates that an entity experiences, produces, or is associated with volcanic mudflows (lahars).
- F. None of above. chosen
Provenance (4 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43785383881908ec61ddf5e2193cf |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.