Triple
T2741945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downsview Park station |
E60769
|
entity |
| Predicate | hasUndergroundPlatforms |
P15152
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Downsview Park station, hasUndergroundPlatforms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndergroundPlatforms Context triple: [Downsview Park station, hasUndergroundPlatforms, yes]
-
A.
hasUndergroundSection
chosen
Indicates that an entity includes a portion or segment that is located below ground level.
-
B.
hasSuburbanPlatforms
Indicates that an entity (typically a railway station or transit hub) includes platforms specifically designated for suburban or commuter train services.
-
C.
hasTramway
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
D.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
E.
hasUnderpass
Indicates that one location or structure includes or is connected by an underpass beneath another feature or pathway.
- F. None of above.
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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb303898819098a7d192e29817f8 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.