Triple
T18308274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Line (Calgary) |
E438547
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | CTrain |
—
|
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: CTrain | Statement: [Blue Line (Calgary), partOf, CTrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTrain Context triple: [Blue Line (Calgary), partOf, CTrain]
-
A.
CTrain
chosen
CTrain is Calgary’s light rail transit system that serves as the backbone of the city’s public transportation network.
-
B.
C train
The C train is a local service on the New York City Subway’s Eighth Avenue Line, running primarily between Upper Manhattan and Brooklyn.
-
C.
Trayning
Trayning is a small rural town in Western Australia's Wheatbelt region, known for its grain farming and agricultural services.
-
D.
CTrail
CTrail is a regional rail service brand used by the Connecticut Department of Transportation for its commuter and intercity passenger train lines.
-
E.
LeTrainTrain
LeTrainTrain is a television production company known for producing high-profile scripted series such as the crime drama "Tokyo Vice."
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50215e0c48190a4679d432b6ee596 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.