Triple
T1612376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C++/CLI |
E34640
|
entity |
| Predicate | syntaxFeature |
P5192
|
FINISHED |
| Object | hat pointer (^) for handles to managed objects |
—
|
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: hat pointer (^) for handles to managed objects | Statement: [C++/CLI, syntaxFeature, hat pointer (^) for handles to managed objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syntaxFeature Context triple: [C++/CLI, syntaxFeature, hat pointer (^) for handles to managed objects]
-
A.
languageFeature
chosen
Indicates that one entity is a characteristic, property, or capability of a language associated with the other entity.
-
B.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
C.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
-
D.
syntaxBasedOn
Indicates that the syntactic structure or rules of one entity are derived from, influenced by, or constructed according to the syntax of another entity.
-
E.
syntaxStyle
Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.