Triple
T286923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows |
E5904
|
entity |
| Predicate | programmingLanguage |
P1592
|
FINISHED |
| Object | C++ |
E13747
|
NE 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: C++ | Statement: [Windows, programmingLanguage, C++]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C++ Context triple: [Windows, programmingLanguage, C++]
-
A.
C++
chosen
C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
-
B.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
C.
C++/CLI
C++/CLI is a Microsoft extension of the C++ language designed to interoperate seamlessly with the .NET runtime and managed code.
-
D.
C
C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
-
E.
LPC
The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2ddaa88190b08c40b5823f30a0 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d078ad88190b4fce535c8ea9a80 |
completed | March 1, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.