Triple

T29271628
Position Surface form Disambiguated ID Type / Status
Subject Trabi durch die Mauer E742131 entity
Predicate hasPhotographicPopularity P108083 FINISHED
Object frequently photographed by tourists 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: frequently photographed by tourists | Statement: [Trabi durch die Mauer, hasPhotographicPopularity, frequently photographed by tourists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotographicPopularity
Context triple: [Trabi durch die Mauer, hasPhotographicPopularity, frequently photographed by tourists]
  • A. isFrequentlyPhotographedAs
    Indicates that one entity is commonly or repeatedly depicted in photographs in the role, appearance, or identity of another entity.
  • B. hasPhotoAppeal
    Indicates that something possesses qualities that make it visually attractive or appealing in photographs.
  • C. hasPhotogenicFeature
    Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
  • D. hasPhotographicSignificance
    Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
  • E. hasPhotographicActivity chosen
    Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
  • 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_69f0912124d48190a046642b69407f4c completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 28, 2026, 12:48 p.m.