Triple

T35572872
Position Surface form Disambiguated ID Type / Status
Subject Sawantwadi lacquerware E1027990 entity
Predicate traditionalMotifs P51314 FINISHED
Object floral patterns 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: floral patterns | Statement: [Sawantwadi lacquerware, traditionalMotifs, floral patterns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalMotifs
Context triple: [Sawantwadi lacquerware, traditionalMotifs, floral patterns]
  • A. traditionalMotif chosen
    Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
  • B. traditionalHeir
    Indicates that one entity is recognized as the customary or culturally designated inheritor or successor of another entity.
  • C. traditionalCraft
    Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
  • D. drawsFromTradition
    Indicates that something is influenced by, incorporates, or builds upon established traditions or traditional practices.
  • E. usesDesignTradition
    Indicates that one entity creates, interprets, or operates according to the established design principles, styles, or conventions associated with another entity or tradition.
  • 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_69f76e0386688190b931bacdc145938c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff65987ff88190b09be64f7c0e1da9 completed May 9, 2026, 4:49 p.m.
PD Predicate disambiguation batch_69ff6525b0548190bef7a9f009e00bb8 completed May 9, 2026, 4:47 p.m.
Created at: May 3, 2026, 4:04 p.m.