Triple
T2437117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels Airlines |
E52985
|
entity |
| Predicate | hasLogoSymbol |
P21497
|
FINISHED |
| Object | stylized dotted "b" |
—
|
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: stylized dotted "b" | Statement: [Brussels Airlines, hasLogoSymbol, stylized dotted "b"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogoSymbol Context triple: [Brussels Airlines, hasLogoSymbol, stylized dotted "b"]
-
A.
hasLogoText
Indicates that an entity’s logo includes specific textual content or wording.
-
B.
symbolOnInsignia
chosen
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
C.
hasFormerLogo
Indicates that an entity is associated with a logo it used in the past but no longer uses.
-
D.
logoUsedBy
Indicates that a particular logo is employed or displayed by a specific entity as part of its identity, branding, or representation.
-
E.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.