Triple

T810849
Position Surface form Disambiguated ID Type / Status
Subject Middle Franconia E17540 entity
Predicate capital P234 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: [Middle Franconia, capital, Ansbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ansbach
Context triple: [Middle Franconia, capital, 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. Neustadt an der Aisch
    Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
  • D. Forchheim
    Forchheim is a town in Upper Franconia, Bavaria, Germany, known for its historic old town and location along major regional rail and road routes.
  • E. Annaberg-Buchholz
    Annaberg-Buchholz is a historic mining town in eastern Germany known for its rich ore-mining heritage and traditional Christmas folk art.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69aebedc55848190a069888fe6088b0a completed March 9, 2026, 12:36 p.m.
Created at: March 1, 2026, 7:38 p.m.