Triple

T35735008
Position Surface form Disambiguated ID Type / Status
Subject Love bracelet E1032862 entity
Predicate hasEngravingOption P194723 FINISHED
Object personalized engraving available 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: personalized engraving available | Statement: [Love bracelet, hasEngravingOption, personalized engraving available]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEngravingOption
Context triple: [Love bracelet, hasEngravingOption, personalized engraving available]
  • A. hasEngravableArea
    Indicates that an object possesses a surface or region suitable for being engraved.
  • B. hasImprintStyle
    Indicates that one entity bears or exhibits a particular style, pattern, or form of imprint associated with another entity.
  • C. hasSubImprintFeature
    Indicates that an imprint includes or is associated with a more specific subordinate imprint feature.
  • D. hasWinnerEngraved
    Indicates that the winner of a competition, event, or award is permanently recorded or inscribed on an associated object or medium.
  • E. hasCarving
    Indicates that one entity features or contains a carved design, inscription, or sculpted detail that is associated with or applied to another entity.
  • F. None of above. chosen

Provenance (4 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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
PDg Predicate description generation batch_69fd82ebe1c081908455fc45b6e45178 completed May 8, 2026, 6:30 a.m.
Created at: May 3, 2026, 4:05 p.m.