Triple
T1934807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electronics Products & Solutions |
E41419
|
entity |
| Predicate | hasBusinessFunction |
P9642
|
FINISHED |
| Object | product planning |
—
|
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: product planning | Statement: [Electronics Products & Solutions, hasBusinessFunction, product planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusinessFunction Context triple: [Electronics Products & Solutions, hasBusinessFunction, product planning]
-
A.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
-
B.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
C.
businessFunction
chosen
Indicates the specific role, activity, or operational function that an entity performs within a business context.
-
D.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
E.
hasBusinessRoute
Indicates that there exists an established commercial or service route connecting two business-related entities.
- 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.