Triple
T1049977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trefoil logo |
E22671
|
entity |
| Predicate | trademarkType |
P5686
|
FINISHED |
| Object | figurative mark |
—
|
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: figurative mark | Statement: [Trefoil logo, trademarkType, figurative mark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trademarkType Context triple: [Trefoil logo, trademarkType, figurative mark]
-
A.
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.
-
B.
trademarkOwner
Indicates that one entity legally owns and holds the rights to a particular trademark associated with another entity or product.
-
C.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
D.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
-
E.
markType
chosen
Indicates the specific category or kind of mark associated with or applied to an entity.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.