Triple
T1357423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peshtigo Fire |
E29018
|
entity |
| Predicate | disasterType |
P1950
|
FINISHED |
| Object | natural disaster |
—
|
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: natural disaster | Statement: [Peshtigo Fire, disasterType, natural disaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disasterType Context triple: [Peshtigo Fire, disasterType, natural disaster]
-
A.
frequentNaturalHazard
Indicates that a location or area regularly experiences natural hazards such as floods, earthquakes, storms, or similar events with notable frequency.
-
B.
hasDisaster
Indicates that an entity experiences, is affected by, or is associated with a disaster event.
-
C.
hazardType
chosen
Indicates the specific kind or category of hazard associated with an entity or situation.
-
D.
producedTsunami
Indicates that an event or phenomenon caused or generated a tsunami as a consequence.
-
E.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28db5048190a279ee9882caaeaf |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.