Triple
T4980284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thread Group |
E111865
|
entity |
| Predicate | productScope |
P16090
|
FINISHED |
| Object | smart home devices |
—
|
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: smart home devices | Statement: [Thread Group, productScope, smart home devices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productScope Context triple: [Thread Group, productScope, smart home devices]
-
A.
scopeOfProducts
chosen
Indicates the range or extent of products that fall under a particular category, responsibility, or context.
-
B.
productDomain
Indicates the domain, field, or area of application to which a given product belongs or is relevant.
-
C.
promotionScope
Indicates the range or extent within which a promotion or promotional offer is valid or applicable.
-
D.
productMix
Indicates the combination and relative proportions of different products or product types offered or involved in a given context.
-
E.
productIncludes
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.