Triple

T9236277
Position Surface form Disambiguated ID Type / Status
Subject Plaza Río de Janeiro E221943 entity
Predicate hasCentralSculptureMaterial P65713 FINISHED
Object marble or marble-like material — 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: marble or marble-like material | Statement: [Plaza Río de Janeiro, hasCentralSculptureMaterial, marble or marble-like material]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCentralSculptureMaterial
Context triple: [Plaza Río de Janeiro, hasCentralSculptureMaterial, marble or marble-like material]
  • A. hasSculptureType
    Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
  • B. centralFigureMaterial chosen
    Indicates that the material specified is the primary substance from which the central figure in a composition or object is made.
  • C. featuresSculptureOf
    Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
  • D. artStyleOfEnclosingSculpture
    Indicates that one entity specifies the artistic style or aesthetic category of a surrounding or enclosing sculpture associated with another entity.
  • E. statueMaterialDetail
    Indicates that a statue is made of, or incorporates, a specific material with detailed characterization (e.g., type, composition, or quality).
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09d42488190b8ccb9c4b62fdda8 completed April 1, 2026, 10:17 a.m.
PD Predicate disambiguation batch_69cc7a4765648190aa9445c4a22dc471 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:29 p.m.