Triple
T7930167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vine on Mill Plain |
E184168
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | The Vine |
E35302
|
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: The Vine | Statement: [The Vine on Mill Plain, hasBrand, The Vine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Vine Context triple: [The Vine on Mill Plain, hasBrand, The Vine]
-
A.
The Vine
chosen
The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
-
B.
Vine
Vine was a short-form video hosting service and social media platform known for its looping six-second clips and significant cultural impact in the early 2010s.
-
C.
Grapevine
Grapevine is a suburban city in the Dallas–Fort Worth metropolitan area known for its historic downtown, wineries, and proximity to Dallas/Fort Worth International Airport.
-
D.
The Vern
The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
-
E.
Mud
Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acb6cb88190b4f31b7091881241 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe011ccec8190ab60d18b761666af |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:07 p.m.