Triple

T30444653
Position Surface form Disambiguated ID Type / Status
Subject statue of Saint Francis Xavier E774542 entity
Predicate hasPossibleMaterial P41055 FINISHED
Object stone 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: stone | Statement: [statue of Saint Francis Xavier, hasPossibleMaterial, stone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPossibleMaterial
Context triple: [statue of Saint Francis Xavier, hasPossibleMaterial, stone]
  • A. hasMaterialOption chosen
    Indicates that an entity can be made from, or is available in, one or more alternative materials.
  • B. hasMaterialResource
    Indicates that an entity possesses, controls, or has access to a tangible material resource.
  • C. hasMaterialType
    Indicates that something is composed of, made from, or characterized by a specific type of material.
  • D. hasMaterialRole
    Indicates that an entity participates in an activity or context by fulfilling a specific material-related role or function.
  • E. hasBankMaterial
    Indicates that something is made of, or incorporates, a specified banking-related material or substance.
  • 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_69f22493ef9c8190ae8c2afcb7f994c8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdbaa226708190b8ed96e93aad38de completed May 8, 2026, 10:27 a.m.
PD Predicate disambiguation batch_69fdb58b07e48190837e00966de050d4 completed May 8, 2026, 10:06 a.m.
Created at: April 29, 2026, 8:08 p.m.