Triple
T6484752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauquenes |
E146479
|
entity |
| Predicate | hasSeismicRisk |
P34010
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Cauquenes, hasSeismicRisk, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeismicRisk Context triple: [Cauquenes, hasSeismicRisk, high]
-
A.
hasNaturalHazardRisk
Indicates that an entity is exposed or subject to potential damage or impact from one or more natural hazards (e.g., earthquakes, floods, storms).
-
B.
earthquakeHazardLevel
chosen
Indicates the assessed degree of risk or potential impact from earthquakes associated with a given location or entity.
-
C.
seismicSafetyConcernsIdentified
Indicates that potential risks or issues related to seismic safety have been detected or recognized.
-
D.
hasEarthquakes
Indicates that the specified location or region experiences one or more earthquakes.
-
E.
hasTsunamiRisk
Indicates that the subject is exposed to or associated with a potential risk of tsunamis.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6efe1881909a044b1cdaa511af |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:52 p.m.