Triple
T2959091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaseya Center |
E80001
|
entity |
| Predicate | hasVideoDisplay |
P16010
|
FINISHED |
| Object | LED video boards |
—
|
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: LED video boards | Statement: [Kaseya Center, hasVideoDisplay, LED video boards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVideoDisplay Context triple: [Kaseya Center, hasVideoDisplay, LED video boards]
-
A.
hasVideoBoard
chosen
Indicates that an entity is equipped with or includes a video board (graphics/display hardware component).
-
B.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
C.
supportsExternalDisplay
Indicates that an entity is capable of connecting to and functioning with an external display device.
-
D.
hasNumberOfScreens
Indicates the quantity of screens associated with or contained in a given entity.
-
E.
hasDisplayType
Indicates the type or category of display associated with an entity, such as the format, mode, or presentation style used to show its content.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992c4c7c819084b5bef299255181 |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.