Triple
T3426080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Objective-C++ |
E72231
|
entity |
| Predicate | supportsMemoryManagement |
P203
|
FINISHED |
| Object | Automatic Reference Counting |
—
|
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: Automatic Reference Counting | Statement: [Objective-C++, supportsMemoryManagement, Automatic Reference Counting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMemoryManagement Context triple: [Objective-C++, supportsMemoryManagement, Automatic Reference Counting]
-
A.
supportsMemoryProtection
Indicates that one entity provides mechanisms to prevent unauthorized access or interference with another entity’s memory space.
-
B.
hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
C.
supportsDeviceManagement
Indicates that one entity provides capabilities or functionality to manage, configure, or control another entity’s devices.
-
D.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportsMemoryCard
Indicates that one entity is compatible with and can accept or use a memory card associated with 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9812a648190ac919e7291744b5a |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.