Triple

T5123757
Position Surface form Disambiguated ID Type / Status
Subject Fränkische Rezat E115534 entity
Predicate flowsThrough P225 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: [Fränkische Rezat, flowsThrough, Ansbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ansbach
Context triple: [Fränkische Rezat, flowsThrough, 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. Kulmbach
    Kulmbach is a historic Bavarian town in northern Germany renowned for its beer brewing tradition and its hilltop Plassenburg Castle.
  • E. Suhl
    Suhl is a city in central Germany known historically as a center of firearms manufacturing and located in the federal state of Thuringia.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7805c55c8190bc0540d755dc6242 completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4b7c628819097fb933be59ecefe completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:42 p.m.