Triple
T4733491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort McMurray |
E105066
|
entity |
| Predicate | wildfireEvacuation |
P23041
|
FINISHED |
| Object | large-scale evacuation in May 2016 |
—
|
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: large-scale evacuation in May 2016 | Statement: [Fort McMurray, wildfireEvacuation, large-scale evacuation in May 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildfireEvacuation Context triple: [Fort McMurray, wildfireEvacuation, large-scale evacuation in May 2016]
-
A.
wildfireRisk
Indicates the likelihood or potential severity of wildfires occurring in a given area or under specific conditions.
-
B.
nearbyWildfire
Indicates that a wildfire is occurring close enough to a given location or entity to be considered in its immediate vicinity.
-
C.
notableEvacuation
chosen
Indicates a significant, widely recognized instance of people being moved or fleeing from a place for safety, typically due to danger or emergency conditions.
-
D.
evacuatedBy
Indicates that an entity is removed or cleared from a place or situation through the action or assistance of another agent or process.
-
E.
evacuationMethod
Indicates the means or procedure by which people or objects are removed from a place of danger or risk.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6466354481908595f5bb56025cdb |
completed | March 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.