Triple

T31870460
Position Surface form Disambiguated ID Type / Status
Subject tomb of Shoshenq II E813582 entity
Predicate hasMaterialInArtifacts P1845 FINISHED
Object gold 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 | Statement: [tomb of Shoshenq II, hasMaterialInArtifacts, gold]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaterialInArtifacts
Context triple: [tomb of Shoshenq II, hasMaterialInArtifacts, gold]
  • A. hasMaterialResource
    Indicates that an entity possesses, controls, or has access to a tangible material resource.
  • B. hasSculptureMaterial
    Indicates that a sculpture is made from, or incorporates, a specified material.
  • C. hasMaterialRole
    Indicates that an entity participates in an activity or context by fulfilling a specific material-related role or function.
  • D. hasMaterialType chosen
    Indicates that something is composed of, made from, or characterized by a specific type of material.
  • E. hasMaterialAspect
    Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
  • 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_69f348ecb07481909c8f72619131b115 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a00532815c881908f10d9594458b3d7 completed May 10, 2026, 9:43 a.m.
PD Predicate disambiguation batch_6a0052b9f030819081b8105bdcaf6d8f completed May 10, 2026, 9:41 a.m.
Created at: April 30, 2026, 11:54 p.m.