Triple
T17234293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrome Canary channel |
E418319
|
entity |
| Predicate | iconVariantOf |
P22600
|
FINISHED |
| Object | Google Chrome icon |
—
|
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: Google Chrome icon | Statement: [Chrome Canary channel, iconVariantOf, Google Chrome icon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconVariantOf Context triple: [Chrome Canary channel, iconVariantOf, Google Chrome icon]
-
A.
iconOf
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
B.
iconographicVariant
Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
-
C.
iconShape
Indicates the geometric form or outline that an icon visually takes.
-
D.
iconLabel
Indicates that a textual label or caption is associated with a specific icon.
-
E.
iconographicVariantOf
chosen
Indicates that one representation is an alternative visual or stylistic depiction of the same subject as another representation.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfa0a408190880804d463305867 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.