Triple
T622527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown Miami |
E14543
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object |
Brightline
Brightline is a privately operated higher-speed intercity passenger rail service in Florida connecting major urban centers such as Miami, Fort Lauderdale, and West Palm Beach.
|
E77963
|
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: Brightline | Statement: [Downtown Miami, servedBy, Brightline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brightline Context triple: [Downtown Miami, servedBy, Brightline]
-
A.
AeroTrain
AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
-
B.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
C.
DART Light Rail
DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
-
D.
O-Train
The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
-
E.
Auto Train
Auto Train is a long-distance Amtrak service that carries both passengers and their vehicles nonstop between the Washington, D.C. area and central Florida.
- 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: Brightline Triple: [Downtown Miami, servedBy, Brightline]
Generated description
Brightline is a privately operated higher-speed intercity passenger rail service in Florida connecting major urban centers such as Miami, Fort Lauderdale, and West Palm Beach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brightline Target entity description: Brightline is a privately operated higher-speed intercity passenger rail service in Florida connecting major urban centers such as Miami, Fort Lauderdale, and West Palm Beach.
-
A.
AeroTrain
AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
-
B.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
C.
DART Light Rail
DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
-
D.
O-Train
The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
-
E.
Auto Train
Auto Train is a long-distance Amtrak service that carries both passengers and their vehicles nonstop between the Washington, D.C. area and central Florida.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e402d9c8190936896e3ebb6edc5 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a563cab73c819082b51d64d249143b |
completed | March 2, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69a5657b51c881909c393f79c359181c |
completed | March 2, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a565e528a88190a547f69c7e378140 |
completed | March 2, 2026, 10:26 a.m. |
Created at: March 1, 2026, 7:35 p.m.