Triple

T29515727
Position Surface form Disambiguated ID Type / Status
Subject Panorama Museum Bad Frankenhausen E748789 entity
Predicate hasPanoramaTechnique P194746 FINISHED
Object oil on canvas 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: oil on canvas | Statement: [Panorama Museum Bad Frankenhausen, hasPanoramaTechnique, oil on canvas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPanoramaTechnique
Context triple: [Panorama Museum Bad Frankenhausen, hasPanoramaTechnique, oil on canvas]
  • A. hasPanoramicView
    Indicates that something offers a wide, unobstructed view over a broad surrounding area.
  • B. hasPanoramaArea
    Indicates that something includes or is associated with a designated area intended for panoramic viewing or wide-angle observation.
  • C. hasPanControl
    Indicates that an entity has the ability to control the horizontal movement (panning) of another entity, such as a camera or view.
  • D. hasPerspectiveEffect
    Indicates that one entity visually appears altered in size, shape, or position relative to another due to perspective or viewpoint.
  • E. hasPhotogenicFeature
    Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
  • F. None of above. chosen

Provenance (4 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_69f0bd461c208190bec20bbf24e02cc5 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69fd864235b481908738dbb69556bc62 completed May 8, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69fd8373b6bc819091c554f29ee17fec completed May 8, 2026, 6:32 a.m.
PDg Predicate description generation batch_69fd8640e1d4819081c98f15eeb221ab completed May 8, 2026, 6:44 a.m.
Created at: April 28, 2026, 4:37 p.m.