Triple

T29082581
Position Surface form Disambiguated ID Type / Status
Subject Zune music player E734017 entity
Predicate notableModelFeature P95557 FINISHED
Object Zune HD used OLED touchscreen E734017 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: Zune HD used OLED touchscreen | Statement: [Zune music player, notableModelFeature, Zune HD used OLED touchscreen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableModelFeature
Context triple: [Zune music player, notableModelFeature, Zune HD used OLED touchscreen]
  • A. notableModel
    Indicates that an entity is a particularly important, influential, or exemplary instance or version within a broader category or system.
  • B. notableModelDeveloped
    Indicates that an entity is recognized for having created, designed, or developed a significant or noteworthy model.
  • C. notableFeatureOn
    Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
  • D. notableStyleFeature
    Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
  • E. notableTechnicalFeature chosen
    Indicates that an entity possesses a significant or distinguishing technical characteristic or capability.
  • F. None of above.

Provenance (4 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_69f05b0c0f28819086eae6e84f2ae472 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_6a0235be932081908857bc3a77c27e7d completed May 11, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f8f9fdc8190bc24dbcfedb7ddcc completed June 7, 2026, 7:36 a.m.
PD Predicate disambiguation batch_6a022c865dec81909e02b2f330e987e6 completed May 11, 2026, 7:22 p.m.
Created at: April 28, 2026, 10:56 a.m.