Triple
T33603407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opera Turbo |
E860780
|
entity |
| Predicate | compresses |
P176951
|
FINISHED |
| Object | web pages |
—
|
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: web pages | Statement: [Opera Turbo, compresses, web pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compresses Context triple: [Opera Turbo, compresses, web pages]
-
A.
compressionMode
Indicates the specific method or setting used to compress data or content in a given context.
-
B.
compressionType
Indicates the method or format used to compress data or content in the relationship.
-
C.
compressionDirection
Indicates the direction along which a material, object, or signal is being compressed or reduced in size or volume.
-
D.
compressionStandard
Indicates that one entity uses, supports, or is defined according to a particular data compression standard specified by the other entity.
-
E.
compressionFunctionType
Indicates the specific kind or category of compression function applied in a compression process or algorithm.
- F. None of above. chosen
Provenance (4 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:41 a.m.