Triple
T6017769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn |
E133987
|
entity |
| Predicate | isServedBySubwayLine |
P17559
|
FINISHED |
| Object |
B Line
The B Line is a New York City Subway service that runs through Brooklyn and Manhattan, typically operating as an express route on the Sixth Avenue Line.
|
E561875
|
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: B Line | Statement: [Brooklyn, isServedBySubwayLine, B Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B Line Context triple: [Brooklyn, isServedBySubwayLine, B Line]
-
A.
B Line
The B Line is a heavy-rail subway line in the Los Angeles Metro Rail system that runs primarily beneath Hollywood and Downtown Los Angeles.
-
B.
Maritime Line
Maritime Line is a regional railway service in Cornwall, England, connecting Falmouth with the mainline rail network.
-
C.
Greenline
Greenline is a popular multi-use recreational trail associated with Shelby Farms Park in the Memphis, Tennessee area, used for walking, running, and cycling.
-
D.
U Line
U Line is a light metro line in the Seoul metropolitan area that serves the city of Uijeongbu with driverless trains on an elevated and mostly automated system.
-
E.
M-Line
M-Line is the commonly used name for the McKinney Avenue Trolley, a historic streetcar line operating in Dallas, Texas.
- 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: B Line Triple: [Brooklyn, isServedBySubwayLine, B Line]
Generated description
The B Line is a New York City Subway service that runs through Brooklyn and Manhattan, typically operating as an express route on the Sixth Avenue Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B Line Target entity description: The B Line is a New York City Subway service that runs through Brooklyn and Manhattan, typically operating as an express route on the Sixth Avenue Line.
-
A.
B Line
The B Line is a heavy-rail subway line in the Los Angeles Metro Rail system that runs primarily beneath Hollywood and Downtown Los Angeles.
-
B.
Maritime Line
Maritime Line is a regional railway service in Cornwall, England, connecting Falmouth with the mainline rail network.
-
C.
Greenline
Greenline is a popular multi-use recreational trail associated with Shelby Farms Park in the Memphis, Tennessee area, used for walking, running, and cycling.
-
D.
U Line
U Line is a light metro line in the Seoul metropolitan area that serves the city of Uijeongbu with driverless trains on an elevated and mostly automated system.
-
E.
M-Line
M-Line is the commonly used name for the McKinney Avenue Trolley, a historic streetcar line operating in Dallas, Texas.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560bae148190ad4755defaaf471b |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108b842c48190b9469e2892a213d3 |
completed | March 23, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69c10b7467e88190955014bc060b20e4 |
completed | March 23, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10c0a001c81908e3ca53e9491ff9a |
completed | March 23, 2026, 9:46 a.m. |
Created at: March 22, 2026, 4:07 p.m.