Triple
T25044341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crocodile |
E627192
|
entity |
| Predicate | hasLogoRepresentation |
P140819
|
FINISHED |
| Object | stylized green crocodile |
—
|
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 green crocodile | Statement: [The Crocodile, hasLogoRepresentation, stylized green crocodile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogoRepresentation Context triple: [The Crocodile, hasLogoRepresentation, stylized green crocodile]
-
A.
hasLogoStyle
chosen
Indicates that an entity’s logo possesses or is characterized by a particular visual style or design approach.
-
B.
hasLogoText
Indicates that an entity’s logo includes specific textual content or wording.
-
C.
hasLogoShape
Indicates that an entity’s logo is characterized by or takes the form of a specified geometric or visual shape.
-
D.
hasOfficialLogo
Indicates that one entity is the formally recognized logo or emblem representing another entity.
-
E.
hasLogoCreator
Indicates that one entity is the creator or designer of the logo associated with another 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 18, 2026, 6:08 a.m.