Triple
T2741876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Station (Toronto) |
E60768
|
entity |
| Predicate | railServicesOperator |
P20222
|
FINISHED |
| Object | UP Express |
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 | Statement: [Union Station (Toronto), railServicesOperator, UP Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UP Express Context triple: [Union Station (Toronto), railServicesOperator, UP Express]
-
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.
UPS Worldwide Express
UPS Worldwide Express is a premium international shipping service from UPS that provides fast, time-definite delivery of packages worldwide.
-
C.
PAL Express
PAL Express is a Philippine low-cost regional airline brand operating domestic and select international flights on behalf of Philippine Airlines.
-
D.
Channel Express
Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
-
E.
HK Express
HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb303898819098a7d192e29817f8 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbca8ac081909ce86d4cd911b4f1 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.