Triple

T37575823
Position Surface form Disambiguated ID Type / Status
Subject Blanquillos E934815 entity
Predicate associatedWithKitTradition P59326 FINISHED
Object traditional white shirt 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: traditional white shirt | Statement: [Blanquillos, associatedWithKitTradition, traditional white shirt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithKitTradition
Context triple: [Blanquillos, associatedWithKitTradition, traditional white shirt]
  • A. traditionAssociatesWith
    Indicates that a particular tradition is connected or linked to another entity, such as a practice, group, place, or concept.
  • B. traditionalKit chosen
    Indicates that an entity is a conventional or customary set of tools, equipment, or components used together for a particular purpose.
  • C. derivesFromTraditionalKitColor
    Indicates that one entity’s color scheme is based on or inspired by the traditional kit colors associated with another entity.
  • D. textBelongsToTradition
    Indicates that a given text is associated with, derived from, or recognized as part of a particular intellectual, cultural, or religious tradition.
  • E. citesTradition
    Indicates that one entity references, appeals to, or draws authority from a tradition associated with another entity.
  • 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_69f76ecd99148190be327e391a70f5b6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1553e08190bb7424c448cb1f33 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.