Triple
T575195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C++ |
E13747
|
entity |
| Predicate | hasStandard |
P1371
|
FINISHED |
| Object | C++98 |
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++98 | Statement: [C++, hasStandard, C++98]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C++98 Context triple: [C++, hasStandard, C++98]
-
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.
ISO/IEC 9899
ISO/IEC 9899 is the international standard that defines the C programming language’s syntax, semantics, and library.
-
C.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
D.
GCC
GCC is a regional political and economic union of Arab states bordering the Persian Gulf, focused on cooperation in areas such as trade, security, and cultural affairs.
-
E.
Windows 98
Windows 98 is a consumer-oriented Microsoft operating system from the late 1990s that built on Windows 95 with improved hardware support, a more integrated graphical interface, and bundled web technologies.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b67395c8190a8046ff7debe9d1f |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff4db0248190b2b3ca0290467313 |
completed | March 2, 2026, 3:09 a.m. |
Created at: March 1, 2026, 7:33 p.m.