Triple
T4911487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartoon Network Japan |
E110241
|
entity |
| Predicate | hasLocalizedLogo |
P36877
|
FINISHED |
| Object | Cartoon Network Japan logo |
—
|
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: Cartoon Network Japan logo | Statement: [Cartoon Network Japan, hasLocalizedLogo, Cartoon Network Japan logo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalizedLogo Context triple: [Cartoon Network Japan, hasLocalizedLogo, Cartoon Network Japan logo]
-
A.
hasLogoText
Indicates that an entity’s logo includes specific textual content or wording.
-
B.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
-
C.
hasFormerLogo
Indicates that an entity is associated with a logo it used in the past but no longer uses.
-
D.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
E.
logoUsedIn
chosen
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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9acc0c819080b07e2e7924d163 |
completed | March 20, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.