Triple
T28617302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C++/CX |
E724300
|
entity |
| Predicate | languageBindingFor |
P83858
|
FINISHED |
| Object | Windows Runtime APIs |
—
|
NE NERFINISHED |
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: Windows Runtime APIs | Statement: [C++/CX, languageBindingFor, Windows Runtime APIs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageBindingFor Context triple: [C++/CX, languageBindingFor, Windows Runtime APIs]
-
A.
supportsLanguageBindingSystem
chosen
Indicates that one entity provides mechanisms or infrastructure that enable another entity to create, use, or integrate language bindings for a system or platform.
-
B.
primaryLanguageBinding
Indicates that one language or language-specific implementation is designated as the main or default binding for a given resource, interface, or functionality.
-
C.
languageName
Indicates the specific name assigned to a language in the relationship.
-
D.
languageOfInterface
Indicates the language used by or presented in a user interface.
-
E.
languageTargets
Indicates that a language is specifically directed at, intended for, or used to address a particular target entity (such as an audience, system, or domain).
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 28, 2026, 4:32 a.m.