Triple

T12309574
Position Surface form Disambiguated ID Type / Status
Subject Nokia E7 E293440 entity
Predicate hasHDMIOutput P85051 FINISHED
Object yes 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: yes | Statement: [Nokia E7, hasHDMIOutput, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHDMIOutput
Context triple: [Nokia E7, hasHDMIOutput, yes]
  • A. hasHDMIPort chosen
    Indicates that one entity (typically a device) is equipped with an HDMI port that can be used to connect to another entity.
  • B. hdmiVersion
    Indicates the specific HDMI standard or version associated with a device, port, or connection.
  • C. supportsDisplayPortAltMode
    Indicates that one entity is capable of transmitting video and audio using the DisplayPort Alternate Mode over a USB-C or similar connection to another entity.
  • D. supportsDisplayStandard
    Indicates that one entity is compatible with and can correctly handle or render the specified display standard.
  • E. supportsDisplayTechnology
    Indicates that one entity is compatible with, or capable of operating using, a specified display technology.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.