Triple

T6484665
Position Surface form Disambiguated ID Type / Status
Subject Feuchtwangen E146477 entity
Predicate locatedNear P294 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: [Feuchtwangen, locatedNear, Ansbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ansbach
Context triple: [Feuchtwangen, locatedNear, 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c95fea69f081908995d192c4e1977f completed March 29, 2026, 5:22 p.m.
Created at: March 22, 2026, 4:52 p.m.