Triple

T20399627
Position Surface form Disambiguated ID Type / Status
Subject Express Graphics Architecture E500295 entity
Predicate successor P78 FINISHED
Object XZ Graphics 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: XZ Graphics | Statement: [Express Graphics Architecture, successor, XZ Graphics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XZ Graphics
Context triple: [Express Graphics Architecture, successor, XZ Graphics]
  • A. XZI
    XZI is the railway station code used to identify Gare de Lorraine TGV, a high-speed train station in northeastern France.
  • B. XUZ
    XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
  • C. xz
    xz is a modern lossless data compression format and toolset based on the LZMA algorithm, known for achieving high compression ratios and commonly used for software distribution and archival on Unix-like systems.
  • D. ZSXZ
    ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
  • E. Genigraphics chosen
    Genigraphics is a company known for its early work in computer graphics and presentation systems, particularly in the 1980s and 1990s.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798cf04481909f183c4c75fe6d52 completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:29 a.m.