Triple

T23154627
Position Surface form Disambiguated ID Type / Status
Subject Eclipse BIRT E578405 entity
Predicate supportsOutputFormat P23634 FINISHED
Object Word NE NERFINISHED

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: Word | Statement: [Eclipse BIRT, supportsOutputFormat, Word]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Word
Context triple: [Eclipse BIRT, supportsOutputFormat, Word]
  • A. Word chosen
    Word is Microsoft’s widely used word processing application for creating, editing, and formatting text documents.
  • B. WordPad
    WordPad is a basic word processing application for Microsoft Windows that offers more features than Notepad but fewer than full office suites like Microsoft Word.
  • C. Microsoft Word 2013
    Microsoft Word 2013 is a version of Microsoft’s word-processing software that introduced a cleaner interface, cloud integration with OneDrive, and improved collaboration and editing tools.
  • D. WordStar
    WordStar is a pioneering word processing software program that was widely used on early personal computers in the late 1970s and 1980s.
  • E. WPS
    WPS (Wi-Fi Protected Setup) is a wireless network security standard designed to simplify the process of connecting devices to a Wi-Fi network, but it is widely known for serious security vulnerabilities that make it susceptible to brute-force attacks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efca1f081908ff1c34ba25f40c3 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.