Triple
T7944341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadcom |
E184462
|
entity |
| Predicate | productsInclude |
P44684
|
FINISHED |
| Object | Ethernet switches |
—
|
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: Ethernet switches | Statement: [Broadcom, productsInclude, Ethernet switches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productsInclude Context triple: [Broadcom, productsInclude, Ethernet switches]
-
A.
productIncludes
chosen
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
B.
productForm
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
-
C.
productDomain
Indicates the domain, field, or area of application to which a given product belongs or is relevant.
-
D.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
E.
productMix
Indicates the combination and relative proportions of different products or product types offered or involved in a given context.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0e84448190a7e8e0749776a592 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.