Triple

T33642834
Position Surface form Disambiguated ID Type / Status
Subject Gold Medal of Honor for Mural Painting of the Pennsylvania Academy of the Fine Arts E861877 entity
Predicate hasMaterialSymbol P203115 FINISHED
Object gold medal 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: gold medal | Statement: [Gold Medal of Honor for Mural Painting of the Pennsylvania Academy of the Fine Arts, hasMaterialSymbol, gold medal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaterialSymbol
Context triple: [Gold Medal of Honor for Mural Painting of the Pennsylvania Academy of the Fine Arts, hasMaterialSymbol, gold medal]
  • A. hasMaterialResource
    Indicates that an entity possesses, controls, or has access to a tangible material resource.
  • B. hasMaterialType
    Indicates that something is composed of, made from, or characterized by a specific type of material.
  • C. hasMaterialAspect
    Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
  • D. hasMaterialRole
    Indicates that an entity participates in an activity or context by fulfilling a specific material-related role or function.
  • E. hasSymbolFor
    Indicates that one entity serves as the symbolic representation or sign for 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_69f3498280c48190bcc3494017d14234 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a0123d1162c81908182d01ba3ddd236 completed May 11, 2026, 12:33 a.m.
PD Predicate disambiguation batch_6a01236713d88190b12a567c0dfb2d49 completed May 11, 2026, 12:31 a.m.
PDg Predicate description generation batch_6a0123cff0e481909c938428fbfe76a6 completed May 11, 2026, 12:33 a.m.
Created at: May 1, 2026, 1:42 a.m.