Triple
T31694166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian boreal forest |
E808874
|
entity |
| Predicate | characteristicDisturbance |
P131962
|
FINISHED |
| Object | wildfire |
—
|
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: wildfire | Statement: [Canadian boreal forest, characteristicDisturbance, wildfire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicDisturbance Context triple: [Canadian boreal forest, characteristicDisturbance, wildfire]
-
A.
typicalDisturbanceRegime
chosen
Indicates the characteristic pattern, frequency, and intensity of disturbances (e.g., fire, storms, pests) that typically affect an entity or system over time.
-
B.
disturbanceLevel
Indicates the degree or intensity of disruption, interference, or deviation from a normal or stable state in a given context.
-
C.
displacementCharacteristic
Indicates the nature or type of change in position or movement associated with an entity or interaction.
-
D.
disturbancePolicy
Indicates a relationship where one entity defines or enforces rules about when and how another entity may be interrupted, disturbed, or have its normal operation affected.
-
E.
incidentCharacterization
Indicates how an incident is classified or characterized in terms of its nature, attributes, or type.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 30, 2026, 11:09 p.m.