Triple
T4931472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayview |
E110705
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object | Line 4 Sheppard |
E16872
|
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 4 Sheppard | Statement: [Bayview, line, Line 4 Sheppard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 4 Sheppard Context triple: [Bayview, line, Line 4 Sheppard]
-
A.
Line 4 Sheppard
chosen
Line 4 Sheppard is a short, east–west subway line in Toronto’s transit system that primarily serves the Sheppard Avenue corridor in the city’s north end.
-
B.
Line 4–Yellow
Line 4–Yellow is a major driverless metro line in São Paulo’s rapid transit system, connecting key central and western districts with high-capacity, automated service.
-
C.
Line 4B
Line 4B is a planned rapid transit line of the Ho Chi Minh City Metro intended to expand urban rail connectivity within Vietnam’s largest city.
-
D.
Line 4A
Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
-
E.
Metro Line 4
Metro Line 4 is a rapid transit route within a city's metro system that connects with other lines, including Metro Line 6, to facilitate passenger transfers across the network.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77b18b6c8190bbc8d0764f6a03bf |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:30 p.m.