Triple

T9858239
Position Surface form Disambiguated ID Type / Status
Subject The Demolition of the Pont de Carrousel E239640 entity
Predicate pictorialTheme P15999 FINISHED
Object transformation of the urban environment 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: transformation of the urban environment | Statement: [The Demolition of the Pont de Carrousel, pictorialTheme, transformation of the urban environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pictorialTheme
Context triple: [The Demolition of the Pont de Carrousel, pictorialTheme, transformation of the urban environment]
  • A. artisticTheme chosen
    Indicates the central artistic subject, concept, or motif that characterizes or is expressed by a creative work.
  • B. exhibitTheme
    Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
  • C. commonlyDepictedOn
    Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
  • D. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • E. iconographicSubject
    Indicates that one entity serves as the depicted subject or theme represented in the iconography 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb399bd8081908281d1735cc3909f completed April 2, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69cd1d7621d48190aa6a6f34399514b0 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:35 p.m.