Triple
T6628898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Station (Toronto) |
E149870
|
entity |
| Predicate | servesLine |
P839
|
FINISHED |
| Object | UP Express line |
E99224
|
NE 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: UP Express line | Statement: [Union Station (Toronto), servesLine, UP Express line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UP Express line Context triple: [Union Station (Toronto), servesLine, UP Express line]
-
A.
UP Express
chosen
UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
-
B.
UP Express rail link
The UP Express rail link is a dedicated airport rail service in Toronto that connects Toronto Pearson International Airport with the city's downtown Union Station.
-
C.
Airport Express Line
The Airport Express Line is a high-speed Delhi Metro corridor that connects central Delhi with Indira Gandhi International Airport, providing fast transit for air travelers and commuters.
-
D.
Universal Express
Universal Express is a paid line-skipping system used at Universal theme parks to reduce wait times for popular attractions.
-
E.
U Line
U Line is a light metro line in the Seoul metropolitan area that serves the city of Uijeongbu with driverless trains on an elevated and mostly automated system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6afa4a08481908cb5a554f388f32a |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44f5f9c819088cfb4fd87887766 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.