Triple

T16256694
Position Surface form Disambiguated ID Type / Status
Subject Regierungsbezirk Mittelfranken E394647 entity
Predicate hasSeatOfGovernment P761 FINISHED
Object Ansbach E244572 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: Ansbach | Statement: [Regierungsbezirk Mittelfranken, hasSeatOfGovernment, Ansbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ansbach
Context triple: [Regierungsbezirk Mittelfranken, hasSeatOfGovernment, Ansbach]
  • A. Ansbach chosen
    Ansbach is a historic town in the German state of Bavaria, known as the former residence of the Margraves of Brandenburg-Ansbach.
  • B. Ansbach-Bayreuth
    Ansbach-Bayreuth was a small Franconian principality of the Holy Roman Empire, ruled by a branch of the Hohenzollern dynasty and later incorporated into the Kingdom of Prussia.
  • C. Kronach
    Kronach is a historic town in northern Bavaria, Germany, known for its well-preserved medieval old town and the imposing Rosenberg Fortress.
  • D. Abensberg
    Abensberg is a historic town in Bavaria, Germany, known for its medieval architecture and its role as a Napoleonic-era battlefield.
  • E. Kulmbach
    Kulmbach is a historic Bavarian town in northern Germany renowned for its beer brewing tradition and its hilltop Plassenburg Castle.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459b1624819086bf681075097235 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb40dc08190b9d6a04f3c19f57d completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:04 a.m.