Triple

T10329624
Position Surface form Disambiguated ID Type / Status
Subject Acid2 E242841 entity
Predicate alsoKnownAs P39 FINISHED
Object Acid2 browser test E242841 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: Acid2 browser test | Statement: [Acid2, alsoKnownAs, Acid2 browser test]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acid2 browser test
Context triple: [Acid2, alsoKnownAs, Acid2 browser test]
  • A. Acid2 test chosen
    The Acid2 test is a web standards compliance test designed to reveal flaws in web browser rendering engines by using a complex, precisely specified visual layout.
  • B. Acid3 test
    The Acid3 test is a web browser benchmark designed to check compliance with web standards, particularly those related to the Document Object Model (DOM), JavaScript, and rendering.
  • C. WebTest
    WebTest is a Python library for testing WSGI-based web applications by simulating HTTP requests and inspecting responses without running a real server.
  • D. CSS 2.1 test suite
    The CSS 2.1 test suite is a comprehensive collection of tests designed to verify browser conformance to the CSS 2.1 specification.
  • E. Cascading Style Sheets test suites
    Cascading Style Sheets test suites are standardized collections of tests designed to verify and ensure consistent, interoperable implementation of CSS features across different web browsers and user agents.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cfd54c8190b6f88598339536d1 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71db4a8dc81909adb2a044e74fd6b completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.