Triple

T12422113
Position Surface form Disambiguated ID Type / Status
Subject Nokia E50 E296799 entity
Predicate hasInfraredPort P100231 FINISHED
Object true 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: true | Statement: [Nokia E50, hasInfraredPort, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfraredPort
Context triple: [Nokia E50, hasInfraredPort, true]
  • A. supportsInfraredConnectivity chosen
    Indicates that one entity provides or enables infrared-based communication or data transfer capabilities for another entity.
  • B. hasHDMIPort
    Indicates that one entity (typically a device) is equipped with an HDMI port that can be used to connect to another entity.
  • C. hasUSBPort
    Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
  • D. hasTorch
    Indicates that one entity possesses or is currently holding a torch in relation to another context or entity.
  • E. hasUSBConnectorType
    Indicates the specific type or standard of USB connector associated with a device or component.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.