Triple
T18050706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | urllib.request |
E431919
|
entity |
| Predicate | definesClass |
P93515
|
FINISHED |
| Object | Request |
—
|
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: Request | Statement: [urllib.request, definesClass, Request]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesClass Context triple: [urllib.request, definesClass, Request]
-
A.
definesClassification
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
-
B.
designClass
chosen
Indicates that one entity is the design or blueprint class from which the other entity is derived or instantiated.
-
C.
addsClass
Indicates that one entity introduces or appends a class (such as a classification, type, or code) to another entity.
-
D.
combiningClass
Indicates that one entity functions as a combining diacritic or mark that attaches to a base character, specifying how it combines in text rendering or encoding.
-
E.
definesEntity
Indicates that one entity specifies, determines, or establishes the identity, nature, or boundaries of 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff57ea08190a30a87993f7d3299 |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.