Triple

T10430211
Position Surface form Disambiguated ID Type / Status
Subject Opera Limited E245891 entity
Predicate notableProductCharacteristic P93175 FINISHED
Object focus on speed and lightweight browsing 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: focus on speed and lightweight browsing | Statement: [Opera Limited, notableProductCharacteristic, focus on speed and lightweight browsing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableProductCharacteristic
Context triple: [Opera Limited, notableProductCharacteristic, focus on speed and lightweight browsing]
  • A. catalogCharacteristic
    Indicates that a catalog has a specific characteristic or attribute associated with it.
  • B. dataCharacteristic
    Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
  • C. producerCharacteristic chosen
    Indicates a relationship where a producer is associated with a particular attribute, quality, or trait that characterizes them or their production.
  • D. codeCharacteristic
    Indicates that one piece of code possesses a specific property, feature, or quality in relation to another referenced aspect.
  • E. notableFeatureOn
    Indicates that one entity is a prominent or distinguishing feature located on or part of 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea62d6448190a7f5b785467824cf completed April 7, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69d4dfbc546881908f312c66ee195f79 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:13 p.m.