Triple
T12428669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PATH pedestrian network |
E296965
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Union Station |
unclear NED1
|
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: [PATH pedestrian network, connects, Union Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Station Context triple: [PATH pedestrian network, connects, Union Station]
-
A.
Union Station
Union Station is a historic train station and transportation hub in Worcester, Massachusetts, known for its grand Beaux-Arts architecture and role as a key gateway to the city.
-
B.
Union Station
Union Station is a historic train station name commonly used for major passenger rail terminals in several North American cities.
-
C.
Union Station
Union Station was the historic central railway terminal in Ottawa, Canada, later repurposed as the Senate of Canada Building.
-
D.
Union Station
Union Station is a renowned American bluegrass and country band best known for its long-running collaboration with Alison Krauss and its virtuosic acoustic instrumentation.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ddc688190bddb242d67fa6e89 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63479df38819085c5ca791c460d5e |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.