Triple
T477779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Compiler Collection |
E9098
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object | Objective-C |
E41439
|
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: Objective-C | Statement: [GNU Compiler Collection, supportsLanguage, Objective-C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Objective-C Context triple: [GNU Compiler Collection, supportsLanguage, Objective-C]
-
A.
Objective-C
chosen
Objective-C is an object-oriented programming language primarily known for its use in developing software for Apple's macOS and iOS platforms.
-
B.
OPENSTEP
OPENSTEP is an object-oriented application programming interface and operating system environment developed by NeXT that later formed the technological foundation for macOS and iOS.
-
C.
Xcode
Xcode is Apple's integrated development environment (IDE) for creating software across macOS, iOS, watchOS, and tvOS platforms.
-
D.
JavaScriptCore
JavaScriptCore is Apple’s high-performance JavaScript engine used primarily in the Safari web browser and WebKit-based applications.
-
E.
iOS
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03f3fbc81909af6e4496d5e6c2a |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46804b90881908422851eeb9bbba1 |
completed | March 1, 2026, 4:23 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.