Triple

T8250669
Position Surface form Disambiguated ID Type / Status
Subject Leipzig Trade Fair E192948 entity
Predicate hasNameInGerman P22792 FINISHED
Object Leipziger Messe E192948 NE 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: Leipziger Messe | Statement: [Leipzig Trade Fair, hasNameInGerman, Leipziger Messe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipziger Messe
Context triple: [Leipzig Trade Fair, hasNameInGerman, Leipziger Messe]
  • A. Leipzig Trade Fair (Leipziger Messe) chosen
    Leipzig Trade Fair (Leipziger Messe) is one of the world’s oldest and most prominent trade fair organizations, hosting major international exhibitions and conferences in Leipzig, Germany.
  • B. Berliner Messe
    Berliner Messe is a minimalist sacred choral composition by Estonian composer Arvo Pärt, written in his signature tintinnabuli style for the Latin Mass.
  • C. Nürnberg Messe
    Nürnberg Messe is one of Germany’s largest international trade fair and exhibition centers, hosting numerous global industry events and conferences in Nuremberg.
  • D. Koelnmesse
    Koelnmesse is a major international trade fair and exhibition company based in Cologne, Germany, known for organizing prominent events across various industries.
  • E. Messe Berlin
    Messe Berlin is a major exhibition and trade fair center in Berlin, Germany, hosting international trade shows, conferences, and large-scale events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c935408190b9196a849a8d3a3e completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.