Triple

T3022643
Position Surface form Disambiguated ID Type / Status
Subject AirPort E82497 entity
Predicate compatibleWith P203 FINISHED
Object Windows computers E209967 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: Windows computers | Statement: [AirPort, compatibleWith, Windows computers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows computers
Context triple: [AirPort, compatibleWith, Windows computers]
  • A. Windows PC chosen
    A Windows PC is a personal computer running the Microsoft Windows operating system, commonly used for gaming, productivity, and general-purpose computing.
  • B. Windows
    Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
  • C. Windows Section
    The Windows Section is a popular area of Arches National Park known for its large, easily accessible natural sandstone arches and scenic viewpoints.
  • D. Computer
    Computer is a monthly peer-reviewed magazine published by the IEEE Computer Society that covers advances, trends, and research in computing and information technology.
  • E. Computers
    "Computers" is a drill-rap track by Bobby Shmurda (often associated with GS9) known for its aggressive lyrics and street-oriented themes.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a963034819093d96566e9b0cea9 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deafdcb881908174331d5bfc6349 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.