Triple
T9869858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Empire Service |
E239927
|
entity |
| Predicate | majorStop |
P29762
|
FINISHED |
| Object | Syracuse station |
E355772
|
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: Syracuse station | Statement: [Amtrak Empire Service, majorStop, Syracuse station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syracuse station Context triple: [Amtrak Empire Service, majorStop, Syracuse station]
-
A.
Syracuse station
chosen
Syracuse station is a passenger rail station in Syracuse, New York, serving Amtrak trains and connecting the city to regional and long-distance rail routes.
-
B.
Utica station
Utica station is a historic intermodal rail station in Utica, New York, serving Amtrak, commuter, and bus services as a key transportation hub in the region.
-
C.
Schenectady station
Schenectady station is an Amtrak passenger rail station serving the city of Schenectady in upstate New York.
-
D.
Bowling Green station
Bowling Green station is a New York City Subway station in Lower Manhattan serving the 4 and 5 trains near Battery Park and the Financial District.
-
E.
Rochester station
Rochester station is an Amtrak passenger rail station in Rochester, New York, serving intercity routes including the Maple Leaf.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d498b481908f82f31f98b57c7e |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d281c909f08190b4579dd34b3804af |
completed | April 5, 2026, 3:37 p.m. |
Created at: March 30, 2026, 8:36 p.m.