Triple
T13809850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRG Station |
E331858
|
entity |
| Predicate | currentNameOf |
P1213
|
FINISHED |
| Object | Pattison Station |
E331858
|
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: Pattison Station | Statement: [NRG Station, currentNameOf, Pattison Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pattison Station Context triple: [NRG Station, currentNameOf, Pattison Station]
-
A.
Pattison Station
chosen
Pattison Station is the former name of NRG Station, a subway stop on Philadelphia's Broad Street Line serving the South Philadelphia Sports Complex.
-
B.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
-
C.
Campbell Station
Campbell Station is a small unincorporated community in Tennessee, United States.
-
D.
Patterson Station
Patterson Station is a SkyTrain rapid transit station in Burnaby, British Columbia, serving the Expo Line near Central Park.
-
E.
Upland station
Upland station is a commuter rail stop in Upland, California, served by Metrolink trains on the San Bernardino 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce68804881909546073eb72c504c |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:12 p.m.