Triple

T8721056
Position Surface form Disambiguated ID Type / Status
Subject Place du 18-Juin-1940 E207011 entity
Predicate hasPhotographicLandmark P49165 FINISHED
Object famous photograph of train crash through station façade in 1895 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: famous photograph of train crash through station façade in 1895 | Statement: [Place du 18-Juin-1940, hasPhotographicLandmark, famous photograph of train crash through station façade in 1895]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotographicLandmark
Context triple: [Place du 18-Juin-1940, hasPhotographicLandmark, famous photograph of train crash through station façade in 1895]
  • A. hasPhotographicSignificance
    Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
  • B. hasPhotoSpot chosen
    Indicates that a location or entity includes or is associated with a designated place suitable for taking photographs.
  • C. oftenPhotographedAt
    Indicates that an entity is frequently the subject of photographs taken at a particular location or during a specific event.
  • D. isLandmarkFor
    Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
  • E. includesLandmark
    Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d03f0848190a50c77e5cd028ee7 completed March 31, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69cc457093188190959287a6458651c6 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:36 p.m.