Triple
T12391395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton line |
E296000
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Lisgar GO Station |
E775629
|
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: Lisgar GO Station | Statement: [Milton line, hasStation, Lisgar GO Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisgar GO Station Context triple: [Milton line, hasStation, Lisgar GO Station]
-
A.
Lisgar GO Station
chosen
Lisgar GO Station is a commuter rail station in Mississauga, Ontario, serving passengers on GO Transit's Milton line and connecting them to the Greater Toronto Area.
-
B.
Sunnybrooke station
Sunnybrooke station is a commuter rail station in the Pierrefonds-Roxboro borough of Montreal, Quebec, serving the Exo network.
-
C.
Outremont station
Outremont station is a Montreal Metro station on the Blue Line located in the Outremont borough of Montreal, Quebec, Canada.
-
D.
Côte-des-Neiges station
Côte-des-Neiges station is a Montreal Metro station serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough on the city’s Blue Line.
-
E.
Place-d’Armes station
Place-d’Armes station is a Montreal Metro station on the Orange Line serving the historic Old Montreal and downtown business district.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eac3ebd08190beb13fa00331f27b |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 8, 2026, 9:54 p.m.