Triple

T22183505
Position Surface form Disambiguated ID Type / Status
Subject St. Marx E548231 entity
Predicate hasLandmark P105 FINISHED
Object Media Quarter Marx NE NERFINISHED

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: Media Quarter Marx | Statement: [St. Marx, hasLandmark, Media Quarter Marx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media Quarter Marx
Context triple: [St. Marx, hasLandmark, Media Quarter Marx]
  • A. Media Quarter Marx chosen
    Media Quarter Marx is a modern media and creative industries hub in Vienna’s St. Marx district, housing numerous film, television, and digital media companies.
  • B. Newswipe
    Newswipe is a British satirical television series created and presented by Charlie Brooker that critiques and deconstructs modern news media.
  • C. Mediasch
    Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
  • D. MEDIA Mundus
    MEDIA Mundus was an EU funding programme that supported international cooperation and exchange in the audiovisual and film industries prior to its integration into Creative Europe.
  • E. Daily News Brands
    Daily News Brands is a Canadian media company that operates Torstar’s portfolio of digital and print news publications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa687808190b9959d4e91db948a completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.