Triple
T10828054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python visual identity |
E255542
|
entity |
| Predicate | logoRepresents |
P94913
|
FINISHED |
| Object | two stylized snakes |
—
|
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: two stylized snakes | Statement: [Python visual identity, logoRepresents, two stylized snakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logoRepresents Context triple: [Python visual identity, logoRepresents, two stylized snakes]
-
A.
logoIndicates
chosen
Indicates that a logo visually represents, signifies, or identifies an associated entity, brand, or concept.
-
B.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
-
C.
logoFeature
Indicates that an entity serves as a distinctive visual element or component within a logo.
-
D.
logoType
Indicates the specific category or style of a logo associated with an entity (e.g., wordmark, symbol, combination mark).
-
E.
logoDerivedFrom
Indicates that one logo is created, adapted, or otherwise based on another logo as its source or inspiration.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d2b9f88190b79a7b168d7836c8 |
completed | April 9, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.