Triple
T7578452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guelph Central Station |
E179419
|
entity |
| Predicate | reopenedAsIntermodalHub |
P77962
|
FINISHED |
| Object | 21st century |
—
|
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: 21st century | Statement: [Guelph Central Station, reopenedAsIntermodalHub, 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedAsIntermodalHub Context triple: [Guelph Central Station, reopenedAsIntermodalHub, 21st century]
-
A.
servesAsCargoHubFor
Indicates that one entity functions as a central location or facility for handling, consolidating, and distributing cargo associated with another entity.
-
B.
reopenedAsInternationalTerminal
Indicates that a terminal, previously closed or used differently, has been reopened specifically to function as an international terminal.
-
C.
reopenedAsMetroStation
Indicates that a previously closed or differently used station was later reopened specifically as a metro station.
-
D.
reopenedAsSubwayStation
Indicates that a previously closed or differently used station has been opened again specifically as a subway station.
-
E.
openedAsTransportationCenter
Indicates that something was inaugurated or began operation specifically in the role of a transportation center.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f97460a481909d61fba555567b66 |
completed | March 27, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e04c2c8190a889d928515d9b8e |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:51 p.m.