Triple
T6832141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Boston Transitway |
E157161
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Courthouse station
Courthouse station is an underground MBTA Silver Line bus rapid transit station serving Boston's Seaport District.
|
E623985
|
NE FINISHED |
How this triple was built (4 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: Courthouse station | Statement: [South Boston Transitway, hasStation, Courthouse station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courthouse station Context triple: [South Boston Transitway, hasStation, Courthouse station]
-
A.
Courthouse station
Courthouse station is a light rail station in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system.
-
B.
Court House station
Court House station is a Washington Metro rapid transit station serving the Courthouse neighborhood in Arlington, Virginia.
-
C.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
D.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
E.
Cecil B. Moore station
Cecil B. Moore station is a subway stop on Philadelphia’s Broad Street Line serving the Temple University area and surrounding North Philadelphia neighborhoods.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Courthouse station Triple: [South Boston Transitway, hasStation, Courthouse station]
Generated description
Courthouse station is an underground MBTA Silver Line bus rapid transit station serving Boston's Seaport District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Courthouse station Target entity description: Courthouse station is an underground MBTA Silver Line bus rapid transit station serving Boston's Seaport District.
-
A.
Courthouse station
Courthouse station is a light rail station in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system.
-
B.
Court House station
Court House station is a Washington Metro rapid transit station serving the Courthouse neighborhood in Arlington, Virginia.
-
C.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
D.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
E.
Cecil B. Moore station
Cecil B. Moore station is a subway stop on Philadelphia’s Broad Street Line serving the Temple University area and surrounding North Philadelphia neighborhoods.
- F. None of above. chosen
Provenance (5 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62992908190996efab71cbf70f0 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fab60708190825876e5715c0cc4 |
completed | March 28, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c7374ba15081909353f52e432a96e0 |
completed | March 28, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c737b1481c8190a0b590c841ea079f |
completed | March 28, 2026, 2:06 a.m. |
Created at: March 27, 2026, 2:18 p.m.