Triple

T18212134
Position Surface form Disambiguated ID Type / Status
Subject ESPN networks E436059 entity
Predicate hasPart P35 FINISHED
Object Longhorn Network 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: Longhorn Network | Statement: [ESPN networks, hasPart, Longhorn Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longhorn Network
Context triple: [ESPN networks, hasPart, Longhorn Network]
  • A. Longhorn Network chosen
    Longhorn Network is a sports television channel dedicated primarily to broadcasting University of Texas at Austin athletics and related programming.
  • B. Longhorn
    Longhorn is a premium, Western-themed luxury trim level of the Ram 1500 pickup truck, featuring upscale materials and distinctive styling.
  • C. Windows Server
    Windows Server is Microsoft's enterprise-grade server operating system designed to provide network services, centralized management, virtualization, and application hosting for organizations.
  • D. Windows NT
    Windows NT is a family of Microsoft operating systems designed with a robust, secure, and modular architecture for professional and enterprise use.
  • E. Windows Server Core (some versions)
    Windows Server Core is a minimal-installation variant of the Windows Server operating system designed to reduce resource usage and attack surface by omitting most graphical user interface components.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2296f8081908247a6dd08f99b25 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.