Triple
T34496601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desjardins Canal train disaster site |
E885621
|
entity |
| Predicate | significantEventTransportMode |
P127684
|
FINISHED |
| Object | rail transport |
—
|
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: rail transport | Statement: [Desjardins Canal train disaster site, significantEventTransportMode, rail transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantEventTransportMode Context triple: [Desjardins Canal train disaster site, significantEventTransportMode, rail transport]
-
A.
transportModeImportant
Indicates that the mode of transport used is considered significant or plays an important role in the context of the relationship or action.
-
B.
hasTransportationEvent
Indicates that an entity is involved in or associated with a specific transportation-related occurrence, such as a trip, transfer, or movement event.
-
C.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
-
D.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
E.
transportModeHistorical
chosen
Indicates the mode of transportation that was historically used in a given movement, route, or transport 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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 1, 2026, 2:01 a.m.