Triple

T2266148
Position Surface form Disambiguated ID Type / Status
Subject University of Erlangen-Nuremberg E50149 entity
Predicate foundingLocation P40 FINISHED
Object Bayreuth E112998 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: Bayreuth | Statement: [University of Erlangen-Nuremberg, foundingLocation, Bayreuth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayreuth
Context triple: [University of Erlangen-Nuremberg, foundingLocation, Bayreuth]
  • A. Bayreuth chosen
    Bayreuth is a city in northern Bavaria, Germany, best known for its association with composer Richard Wagner and its annual Bayreuth Festival of his operas.
  • B. Regensburg
    Regensburg is a historic city in southeastern Germany known for its well-preserved medieval old town on the Danube River.
  • C. Bamberg
    Bamberg is a historic city in northern Bavaria, Germany, renowned for its well-preserved medieval old town and status as a UNESCO World Heritage Site.
  • D. Nuremberg
    Nuremberg is a historic city in Bavaria, Germany, known for its medieval architecture and its role as the site of the post–World War II war crimes tribunals.
  • E. Weimar
    Weimar is a historic German city renowned as a center of culture and the arts, associated with figures like Goethe and Schiller and pivotal movements in modern design and architecture.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18fff0c8190acd73d8db8a41cff completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d243608190bbfe5784fa06e26b completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.