Triple
T18982851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverdale (Toronto) |
E464473
|
entity |
| Predicate | hasPublicTransit |
P522
|
FINISHED |
| Object | Pape 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: Pape station | Statement: [Riverdale (Toronto), hasPublicTransit, Pape station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pape station Context triple: [Riverdale (Toronto), hasPublicTransit, Pape station]
-
A.
Pape station
chosen
Pape station is a subway station in Toronto, Ontario, serving the city's Bloor–Danforth line in the Greektown area.
-
B.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
C.
Parc station
Parc station is a metro stop on the Charleroi Metro network in Charleroi, Belgium.
-
D.
Parc station
Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
-
E.
Loria station
Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65de6288190a53a3fdd59013d2d |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.