Triple
T20111678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grapevine Mills |
E490346
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Grapevine |
—
|
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: Grapevine | Statement: [Grapevine Mills, city, Grapevine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grapevine Context triple: [Grapevine Mills, city, Grapevine]
-
A.
Grapevine
chosen
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.
-
B.
Grapevine
Grapevine is a small unincorporated community located in Berkeley County, West Virginia.
-
C.
One for the Vine
"One for the Vine" is a progressive rock song by the band Genesis, featured on their 1976 album "Wind & Wuthering."
-
D.
City of Grapevine
The City of Grapevine is a suburban community in North Texas known for its historic downtown, wineries, and proximity to Dallas/Fort Worth International Airport.
-
E.
A Few Grapes
"A Few Grapes" is a song by American rapper BlocBoy JB, known for its energetic delivery and trap-influenced production.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e162108190b19c9559218c8fd6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.