Triple
T5151885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amerant Bank Arena |
E116212
|
entity |
| Predicate | hasVideoRibbonBoard |
P16010
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Amerant Bank Arena, hasVideoRibbonBoard, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVideoRibbonBoard Context triple: [Amerant Bank Arena, hasVideoRibbonBoard, yes]
-
A.
hasVideoBoard
chosen
Indicates that an entity is equipped with or includes a video board (graphics/display hardware component).
-
B.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
C.
hasVignette
Indicates that one entity possesses, includes, or is associated with a vignette (such as a brief scene, illustration, or decorative element).
-
D.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
E.
hasMottoRibbon
Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
- F. None of above.
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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.