Triple

T1166163
Position Surface form Disambiguated ID Type / Status
Subject JavaScriptCore E24803 entity
Predicate exposesAPI P15694 FINISHED
Object JavaScriptCore.framework E24803 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: JavaScriptCore.framework | Statement: [JavaScriptCore, exposesAPI, JavaScriptCore.framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaScriptCore.framework
Context triple: [JavaScriptCore, exposesAPI, JavaScriptCore.framework]
  • A. JavaScriptCore chosen
    JavaScriptCore is Apple’s high-performance JavaScript engine used primarily in the Safari web browser and WebKit-based applications.
  • B. macOS Cocoa
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • C. SpiderMonkey
    SpiderMonkey is Mozilla's open-source JavaScript engine, written in C/C++ and used primarily in the Firefox web browser.
  • D. WebKit
    WebKit is an open-source web browser engine, originally developed by Apple, that powers the rendering and execution of web content in browsers like Safari.
  • E. Swift Standard Library
    The Swift Standard Library is the core collection of fundamental types, protocols, and utilities that provide essential functionality for writing programs in the Swift programming language.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf13ab648190931dea78202096e4 completed March 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f17aa608190920b7df62b8dd903 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:45 p.m.