Triple

T5456361
Position Surface form Disambiguated ID Type / Status
Subject Throne Room E122486 entity
Predicate wallDecoration P3351 FINISHED
Object silk hangings 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: silk hangings | Statement: [Throne Room, wallDecoration, silk hangings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wallDecoration
Context triple: [Throne Room, wallDecoration, silk hangings]
  • A. wallFeature
    Indicates that one entity functions as a structural or design feature associated with a wall of another entity.
  • B. wallTreatment
    Indicates how a wall is finished, covered, or treated in terms of its surface appearance or protective coating.
  • C. wallMaterial
    Indicates that one entity is the material from which a wall or walls of another entity are constructed.
  • D. decoration chosen
    Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
  • E. decorativeCategory
    Indicates that one entity is classified as belonging to a particular decorative style, theme, or ornamentation category of another entity.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927c946c8190aef40679199fede3 completed March 20, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69bd91a0d96c8190bd1299edbf764bbb completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:08 p.m.