Triple
T3244871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Ray thin client |
E68044
|
entity |
| Predicate | relatedProductFamily |
P11218
|
FINISHED |
| Object | Sun Ray product line |
—
|
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: Sun Ray product line | Statement: [Sun Ray thin client, relatedProductFamily, Sun Ray product line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedProductFamily Context triple: [Sun Ray thin client, relatedProductFamily, Sun Ray product line]
-
A.
productFamily
chosen
Indicates that one product belongs to, or is categorized under, a broader product family or line.
-
B.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
C.
featuresFamily
Indicates that something includes, presents, or highlights a family as a central element or subject.
-
D.
relatedDevice
Indicates that one device has an association or connection to another device, without specifying the exact nature of that relationship.
-
E.
relatedFamilyBusiness
Indicates that there is a connection between entities through ownership, management, or involvement in the same family-run business or businesses.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1982448190b3d60c9e4471421f |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.