Triple
T34496603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desjardins Canal train disaster site |
E885621
|
entity |
| Predicate | significantEventCasualties |
P126019
|
FINISHED |
| Object | one of the deadliest railway accidents in Canadian history |
—
|
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: one of the deadliest railway accidents in Canadian history | Statement: [Desjardins Canal train disaster site, significantEventCasualties, one of the deadliest railway accidents in Canadian history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantEventCasualties Context triple: [Desjardins Canal train disaster site, significantEventCasualties, one of the deadliest railway accidents in Canadian history]
-
A.
casualtiesAssociatedWithEvent
Indicates that certain casualties (deaths or injuries) are linked to, or resulted from, a specific event.
-
B.
notableDeathTollEvent
chosen
Indicates that an event is characterized by causing an unusually large or historically significant number of deaths.
-
C.
nativeCasualties
Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
-
D.
primaryCasualtiesFrom
Indicates that an entity is the main source or cause of the casualties experienced by another entity.
-
E.
numberOfDeathsInNotableEvent
Indicates the total count of deaths that occurred as a result of a specified notable event.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 2:01 a.m.