Triple
T2684628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osgoode station |
E57453
|
entity |
| Predicate | hasUndergroundConnections |
P41500
|
FINISHED |
| Object | PATH pedestrian network (nearby access) |
—
|
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: PATH pedestrian network (nearby access) | Statement: [Osgoode station, hasUndergroundConnections, PATH pedestrian network (nearby access)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndergroundConnections Context triple: [Osgoode station, hasUndergroundConnections, PATH pedestrian network (nearby access)]
-
A.
hasUndergroundSection
Indicates that an entity includes a portion or segment that is located below ground level.
-
B.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
C.
hasUnderpass
Indicates that one location or structure includes or is connected by an underpass beneath another feature or pathway.
-
D.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
-
E.
nearUndergroundLine
Indicates that one entity is located close in distance to an underground (subway/metro) line.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9edba5c8190b86d6cba0f1964e2 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd891bcd481909af5340a64ff69f9 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.