Triple
T22931089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 Avenue Transit Corridor |
E569440
|
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: [7 Avenue Transit Corridor, partOf, CTrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTrain Context triple: [7 Avenue Transit Corridor, 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.
CTrain Red Line
The CTrain Red Line is a major light rail transit route in Calgary, Alberta, running on a north-south axis and connecting key residential and commercial areas across the city.
-
D.
Trayning
Trayning is a small rural town in Western Australia's Wheatbelt region, known for its grain farming and agricultural services.
-
E.
CTrail
CTrail is a regional rail service brand used by the Connecticut Department of Transportation for its commuter and intercity passenger train lines.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18131956c8190b8c850fc1d57a119 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.