Triple
T3678505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCowan station |
E78053
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Line 3 Scarborough |
E46848
|
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: Line 3 Scarborough | Statement: [McCowan station, partOf, Line 3 Scarborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 3 Scarborough Context triple: [McCowan station, partOf, Line 3 Scarborough]
-
A.
Line 3 Scarborough
chosen
Line 3 Scarborough was a former light metro line of the Toronto subway system that served the Scarborough district in Toronto, Ontario, Canada.
-
B.
Line 3A
Line 3A is a planned rapid transit route of the Ho Chi Minh City Metro intended to serve as part of the city’s future urban rail network.
-
C.
Metro Line 3
Metro Line 3 is a major Mexico City Metro route that runs north–south across the city, connecting key residential and commercial areas including the Gustavo A. Madero borough.
-
D.
RTA Waterfront Line
The RTA Waterfront Line is a light rail line in Cleveland, Ohio, that connects downtown with the city's waterfront attractions and nearby neighborhoods.
-
E.
Line 3–Red
Line 3–Red is one of the busiest and most important lines of the São Paulo Metro, running east–west across the city and connecting key residential and commercial areas.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc46599188190a046eddb0d85c483 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a9c6f48190a44b3b2dab37268d |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.