Triple
T8363382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whistler |
E197063
|
entity |
| Predicate | targetedProductType |
P44687
|
FINISHED |
| Object | consumer operating system |
—
|
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: consumer operating system | Statement: [Whistler, targetedProductType, consumer operating system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetedProductType Context triple: [Whistler, targetedProductType, consumer operating system]
-
A.
appliesToProductType
chosen
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
-
B.
productTypePromoted
Indicates that a particular type or category of product is being actively promoted or highlighted, such as through marketing, placement, or special offers.
-
C.
laterProductType
Indicates that one product type occurs or is introduced after another product type in time or sequence.
-
D.
productTypeEvaluated
Indicates that an entity’s product type has been assessed or judged according to certain criteria or standards.
-
E.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.