Triple
T26508263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco TelePresence TX9000 Series |
E669609
|
entity |
| Predicate | videoType |
P160802
|
FINISHED |
| Object | high-definition telepresence |
—
|
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: high-definition telepresence | Statement: [Cisco TelePresence TX9000 Series, videoType, high-definition telepresence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoType Context triple: [Cisco TelePresence TX9000 Series, videoType, high-definition telepresence]
-
A.
musicVideoType
Indicates the specific category or format of a music video associated with a musical work or artist.
-
B.
videoPlatform
Indicates a relationship where an entity serves as or is associated with a platform used for hosting, sharing, or streaming video content.
-
C.
hasVideoContent
Indicates that an entity includes or is associated with video-based media as part of its content.
-
D.
homeVideo
Indicates that an entity is a video recording made in a domestic or personal setting, typically by non-professionals for private use.
-
E.
videoStyle
Indicates the stylistic characteristics or presentation format applied to a video (such as tone, visual approach, or editing style).
- F. None of above. chosen
Provenance (4 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6138fa6e881908d60d7d354ee2b4e |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 1:18 a.m.