Triple
T6255101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattapan Line |
E140142
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Butler station |
E93489
|
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: Butler station | Statement: [Mattapan Line, hasStation, Butler station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butler station Context triple: [Mattapan Line, hasStation, Butler station]
-
A.
Butler station
chosen
Butler station is a small MBTA light rail stop on Boston’s historic Mattapan trolley line in the Dorchester/Mattapan area.
-
B.
Lancaster Station
Lancaster Station is an Amtrak passenger rail station in Lancaster, Pennsylvania, serving intercity and regional trains along the Keystone Corridor.
-
C.
Harrison station
Harrison station is a commuter rail stop in Harrison, New Jersey, serving passengers on the PATH rapid transit system between Newark and New York City.
-
D.
Baldwin station
Baldwin station is a Long Island Rail Road commuter rail stop located in the hamlet of Baldwin in Nassau County, New York.
-
E.
Poplar station
Poplar station is a light rail stop serving the suburb of Mt. Lebanon in the Pittsburgh, Pennsylvania metropolitan area.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06363d6008190bf05e003b1f74497 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519246a588190b14ad9331e1a5eea |
completed | March 26, 2026, 11:31 a.m. |
Created at: March 22, 2026, 4:24 p.m.