Triple

T2981599
Position Surface form Disambiguated ID Type / Status
Subject The Seamstress E80522 entity
Predicate patternUse P12995 FINISHED
Object integration of textiles and wallpaper 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: integration of textiles and wallpaper patterns | Statement: [The Seamstress, patternUse, integration of textiles and wallpaper patterns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: patternUse
Context triple: [The Seamstress, patternUse, integration of textiles and wallpaper patterns]
  • A. pattern
    Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
  • B. patternFamily
    Indicates that one entity belongs to, or is categorized within, a family or group of related patterns defined by the other entity.
  • C. kitPattern
    Indicates the design or visual pattern featured on a team's kit or uniform.
  • D. usagePattern chosen
    Indicates how something is typically used or the recurring manner in which it is employed or consumed.
  • E. notationPattern
    Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a098e08190976eb4b019818f67 completed March 8, 2026, 3:45 p.m.
PD Predicate disambiguation batch_69ad9611fc348190a5d17d237f653f60 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:58 p.m.