Triple

T37768873
Position Surface form Disambiguated ID Type / Status
Subject Motorola A925 E941486 entity
Predicate hasFormFactorCharacteristic P196400 FINISHED
Object large touchscreen for its time 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: large touchscreen for its time | Statement: [Motorola A925, hasFormFactorCharacteristic, large touchscreen for its time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormFactorCharacteristic
Context triple: [Motorola A925, hasFormFactorCharacteristic, large touchscreen for its time]
  • A. hasFormFactor
    Indicates that one entity possesses or is characterized by a particular physical or structural form factor defined by another entity.
  • B. hasFormFactorDetail chosen
    Indicates a relationship where specific physical or structural characteristics of an entity’s form factor are specified or detailed.
  • C. supportsFormFactorFamily
    Indicates that one entity is compatible with and can operate using a specified family of physical or design form factors.
  • D. targetFormFactor
    Indicates the specific physical configuration or design format that something is intended to be used with or fit into.
  • E. supportsDriveFormFactor
    Indicates that one entity is compatible with or can accommodate a specified physical form factor of a drive.
  • 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_69f76ee3251881909bb4451aad50752b completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fecb4d02f881909a9ee97ce98000d5 completed May 9, 2026, 5:51 a.m.
PD Predicate disambiguation batch_69fec9846c1c8190b317f0711f0755db completed May 9, 2026, 5:43 a.m.
Created at: May 3, 2026, 4:19 p.m.