Triple
T2692473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exhibition Place |
E58433
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Exhibition GO Station |
E58159
|
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: Exhibition GO Station | Statement: [Exhibition Place, servedBy, Exhibition GO Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exhibition GO Station Context triple: [Exhibition Place, servedBy, Exhibition GO Station]
-
A.
Exhibition GO Station
chosen
Exhibition GO Station is a commuter rail station in Toronto, Ontario, serving GO Transit passengers traveling to and from the Canadian National Exhibition grounds and the surrounding waterfront area.
-
B.
Expo 2020 station
Expo 2020 station is a Dubai Metro station that serves the Expo 2020 site and its surrounding developments in Dubai, United Arab Emirates.
-
C.
The Expo
The Expo is a well-known multipurpose event and exhibition venue in Portland, Oregon, hosting trade shows, conventions, and community events.
-
D.
Expo Center station
Expo Center station is a light rail station in Portland, Oregon, serving as the northern terminus of TriMet’s MAX Yellow Line near the Portland Expo Center.
-
E.
Shibuya Depot
Shibuya Depot is a Tokyo Metro facility in Shibuya used for the storage, inspection, and maintenance of Ginza Line trains.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0dd97c81909a60cf200f57c087 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6501088190b8fe1ba8de4f6e00 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:54 p.m.