Triple

T33071752
Position Surface form Disambiguated ID Type / Status
Subject Polyforum Cultural Siqueiros E846252 entity
Predicate hasMuralTechnique P14965 FINISHED
Object polyangular mural 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: polyangular mural | Statement: [Polyforum Cultural Siqueiros, hasMuralTechnique, polyangular mural]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMuralTechnique
Context triple: [Polyforum Cultural Siqueiros, hasMuralTechnique, polyangular mural]
  • A. hasArtOrMurals
    Indicates that one entity features or contains artworks or murals associated with another entity.
  • B. artisticTechnique chosen
    Indicates the method, style, or process used to create or execute an artistic work.
  • C. hasTechnique
    Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
  • D. hasMuralsFrom
    Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
  • E. hasWallPaintingStyle
    Indicates that an entity features or is associated with a particular style or type of wall painting.
  • 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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd6f9d600c8190acf495b7fc632e4b completed May 8, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69fd6e98a2948190a9f78c415ad23b8c completed May 8, 2026, 5:03 a.m.
Created at: May 1, 2026, 1:25 a.m.