Triple
T21879229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CATS |
E540233
|
entity |
| Predicate | lightRailSystemName |
P96102
|
FINISHED |
| Object | LYNX Blue Line |
—
|
NE NERFINISHED |
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: LYNX Blue Line | Statement: [CATS, lightRailSystemName, LYNX Blue Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LYNX Blue Line Context triple: [CATS, lightRailSystemName, LYNX Blue Line]
-
A.
Lynx Blue Line
chosen
The Lynx Blue Line is a major light rail transit route serving Charlotte, North Carolina, connecting Uptown with surrounding neighborhoods and suburbs.
-
B.
Charlotte LYNX Blue Line
The Charlotte LYNX Blue Line is a light rail transit line in Charlotte, North Carolina, providing high-capacity urban rail service across the city as part of the Charlotte Area Transit System.
-
C.
LYNX
LYNX is the public transit system serving the Charlotte, North Carolina metropolitan area, operating buses, light rail, and other transportation services.
-
D.
LYNX
LYNX is a public bus transportation system serving the Orlando, Florida metropolitan area.
-
E.
Evergreen Line
Evergreen Line is a major Taiwanese container shipping company known for operating a large global fleet and extensive international trade routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e42c108190b6308016655c429e |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:03 p.m.