Triple
T28294058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inter IKEA Systems B.V. |
E713508
|
entity |
| Predicate | trademarkOwnerOf |
P5664
|
FINISHED |
| Object | IKEA |
—
|
NE NERFINISHED |
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: IKEA | Statement: [Inter IKEA Systems B.V., trademarkOwnerOf, IKEA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trademarkOwnerOf Context triple: [Inter IKEA Systems B.V., trademarkOwnerOf, IKEA]
-
A.
trademarkOwner
chosen
Indicates that one entity legally owns and holds the rights to a particular trademark associated with another entity or product.
-
B.
trademark
Indicates that one entity legally owns and uses a distinctive sign, name, or symbol to identify and distinguish its goods or services from those of others.
-
C.
hostTrademark
Indicates that one entity serves as the host or platform on which another entity’s trademark is presented, displayed, or made available.
-
D.
sharesTrademark
Indicates that two or more entities use or are associated with the same trademark.
-
E.
logoOwner
Indicates that one entity is the owner or rights holder of another entity’s logo.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 11:31 p.m.