Triple
T2448847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Toronto |
E53654
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Union Station |
E201938
|
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: Union Station | Statement: [Old Toronto, contains, Union Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Station Context triple: [Old Toronto, contains, Union Station]
-
A.
Union Station
Union Station is a historic Beaux-Arts transportation hub and major intercity rail terminal in Washington, D.C., serving as a gateway to the U.S. capital.
-
B.
Union Station
Union Station is the main railway station and a historic transportation hub in downtown Los Angeles, renowned for its Mission Revival and Art Deco architecture.
-
C.
Union Station
Union Station is a historic former railroad terminal in St. Louis that has been transformed into a mixed-use complex featuring attractions, dining, and entertainment.
-
D.
Union Station
Union Station is a major historic transportation hub in downtown Dallas that serves as a key rail and transit connection point for the city.
-
E.
Union Station
chosen
Union Station is a historic train station name commonly used for major passenger rail terminals in several North American cities.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0dc7ed88190920afd4817c621c9 |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c0069c8190bfb9e71aea4774d3 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.