Triple
T2163232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto subway |
E46847
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Kipling station |
E65050
|
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: Kipling station | Statement: [Toronto subway, hasStation, Kipling station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kipling station Context triple: [Toronto subway, hasStation, Kipling station]
-
A.
Kipling station
chosen
Kipling station is a major western transit hub in Toronto that connects the subway system with regional buses and commuter services.
-
B.
Lechmere station
Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
-
C.
Gibson station
Gibson station is a Long Island Rail Road commuter rail stop serving the Gibson neighborhood in Valley Stream, New York.
-
D.
Hall/Nimbus station
Hall/Nimbus station is a commuter rail stop in Beaverton, Oregon, serving TriMet’s WES Commuter Rail line in the Portland metropolitan area.
-
E.
Eddington station
Eddington station is a commuter rail stop in Bensalem Township, Pennsylvania, serving passengers on SEPTA’s Trenton Line.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8d105c819098371c35c88873dc |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d98286c8190a6890e2c7daa10b5 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.