Triple
T19806019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riñihuazo |
E475811
|
entity |
| Predicate | hazardChainElement |
P137392
|
FINISHED |
| Object | earthquake–landslide–flood sequence |
—
|
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: earthquake–landslide–flood sequence | Statement: [Riñihuazo, hazardChainElement, earthquake–landslide–flood sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hazardChainElement Context triple: [Riñihuazo, hazardChainElement, earthquake–landslide–flood sequence]
-
A.
hazardEvent
Indicates an occurrence of a dangerous or harmful event that poses a risk or threat within a given context.
-
B.
hazardType
Indicates the specific kind or category of hazard associated with an entity or situation.
-
C.
hazardEncountered
Indicates that an entity has come into contact with or been exposed to a potentially dangerous or harmful condition, object, or situation.
-
D.
hazardScope
Indicates the range or extent within which a particular hazard is relevant, applicable, or has effect.
-
E.
hasHazardLevel
Indicates that an entity is associated with a specified degree or category of risk or danger.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428081c8190b394c442f4c2a9a6 |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.