Triple
T1934777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electronics Products & Solutions |
E41419
|
entity |
| Predicate | includesProductCategory |
P28338
|
FINISHED |
| Object | imaging products |
—
|
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: imaging products | Statement: [Electronics Products & Solutions, includesProductCategory, imaging products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesProductCategory Context triple: [Electronics Products & Solutions, includesProductCategory, imaging products]
-
A.
offersProductCategory
chosen
Indicates that a provider or seller makes products belonging to a specific product category available.
-
B.
hasRetailCategory
Indicates that an entity is associated with a specific retail category or type of retail business.
-
C.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
E.
hasRelatedCategory
Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29b51408190afb2f918814e68c7 |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.