Triple
T19728526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Toronto Convention Centre |
E473789
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Union Station |
—
|
NE NERFINISHED |
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: Union Station | Statement: [Metro Toronto Convention Centre, near, Union Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Station Context triple: [Metro Toronto Convention Centre, near, Union Station]
-
A.
Union Station
Union Station is the main railway station and a historic transportation hub in downtown Los Angeles, renowned for its Mission Revival and Art Deco architecture.
-
B.
Union Station
chosen
Union Station is a historic train station name commonly used for major passenger rail terminals in several North American cities.
-
C.
Union Station
Union Station was the historic central railway terminal in Ottawa, Canada, later repurposed as the Senate of Canada Building.
-
D.
Union Station
"Union Station" is a 1950 American film noir crime thriller centered on a tense kidnapping case unfolding around a bustling urban train terminal.
-
E.
Union Station
Union Station is a historic Beaux-Arts railway terminal in Winnipeg that serves as a key passenger rail hub and architectural landmark in the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fa1bc481908a9e7cf4fc52f75c |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:47 p.m.