Triple
T2741958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downsview Park station |
E60769
|
entity |
| Predicate | hasShelteredConnection |
P41305
|
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, hasShelteredConnection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelteredConnection Context triple: [Downsview Park station, hasShelteredConnection, yes]
-
A.
hasConnection
Indicates that there exists a link, association, or relationship between two entities.
-
B.
hasShelteredPlatforms
Indicates that the subject provides or includes platforms that are covered or protected from the elements.
-
C.
hasTunnel
Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
-
D.
hasBridgeAccess
Indicates that an entity is permitted to enter or use a specific bridge or bridge-controlled area.
-
E.
hasProtectedArea
Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:56 p.m.