Triple

T27777956
Position Surface form Disambiguated ID Type / Status
Subject Sekonda E699251 entity
Predicate timepieceType P48663 FINISHED
Object quartz watches 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: quartz watches | Statement: [Sekonda, timepieceType, quartz watches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timepieceType
Context triple: [Sekonda, timepieceType, quartz watches]
  • A. watchMovementType chosen
    Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
  • B. watches
    Indicates that one entity observes or views another entity or event, typically by looking at it attentively over a period of time.
  • C. chronometerNumber
    Indicates that an entity has been assigned a specific chronometer identification number, linking it to that unique timekeeping device record.
  • D. watchmaking
    Indicates the action or process of designing, assembling, and adjusting watches or timekeeping mechanisms.
  • E. clockType
    Indicates the type or category of a clock associated with an entity (e.g., analog, digital, system clock, etc.).
  • 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f69383222c81909d8baa04129d5c81 completed May 3, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69f690eb1e948190aab41a89969519a5 completed May 3, 2026, 12:03 a.m.
Created at: April 27, 2026, 5:07 p.m.