Triple

T29388162
Position Surface form Disambiguated ID Type / Status
Subject Headset Profile E745305 entity
Predicate shorterName P125556 FINISHED
Object Headset LITERAL 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: Headset | Statement: [Headset Profile, shorterName, Headset]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shorterName
Context triple: [Headset Profile, shorterName, Headset]
  • A. commonShortNameFor
    Indicates that one entity is a commonly used short or abbreviated name for another entity.
  • B. isShortName chosen
    Indicates that one name is an abbreviated or shorter form of another name.
  • C. bearerShortName
    Indicates that an entity serves as the short or abbreviated name used to identify the bearer in the context of a relationship or action.
  • D. shortNameInJapanese
    Indicates that an entity has a specific abbreviated or shorter form of its name expressed in the Japanese language.
  • E. shortDesignation
    Indicates that one entity serves as a brief or abbreviated designation (such as a short name, code, or label) for another entity.
  • F. None of above.

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_69f0a79cfd5481909b4dde750cb8d2c6 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669d44b7c8190a79e108c68a7077a completed May 2, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69f660f4f7a88190b93c60d76b86c912 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 2:40 p.m.