Triple
T6628917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Station (Toronto) |
E149870
|
entity |
| Predicate | passengerBuildingCompleted |
P1511
|
FINISHED |
| Object | 1920 |
—
|
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: 1920 | Statement: [Union Station (Toronto), passengerBuildingCompleted, 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerBuildingCompleted Context triple: [Union Station (Toronto), passengerBuildingCompleted, 1920]
-
A.
terminalBuildingCompleted
Indicates that the construction of a terminal building has been finished and it is considered complete.
-
B.
towerCompleted
Indicates that the construction of a tower has been fully finished and reached its intended completed state.
-
C.
constructionCompleted
chosen
Indicates that a construction process or project has been fully finished and reached its completed state.
-
D.
towerCompletedBefore
Indicates that the construction or completion of one tower occurred earlier in time than the construction or completion of another tower.
-
E.
constructionOfArchCompleted
Indicates that the process of building or assembling an arch has been fully finished.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:59 p.m.