Triple

T8375494
Position Surface form Disambiguated ID Type / Status
Subject Central Germany E197565 entity
Predicate containsCity P294 FINISHED
Object Hof (Saale) E310959 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: Hof (Saale) | Statement: [Central Germany, containsCity, Hof (Saale)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hof (Saale)
Context triple: [Central Germany, containsCity, Hof (Saale)]
  • A. Hof (Saale) chosen
    Hof (Saale) is a town in northeastern Bavaria, Germany, known as a regional center near the borders with Saxony and the Czech Republic.
  • B. Wülfershausen an der Saale
    Wülfershausen an der Saale is a small municipality in northern Bavaria, Germany, situated along the Saale River.
  • C. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Höchstadt an der Aisch
    Höchstadt an der Aisch is a small Bavarian town in Germany known for its historic center and location in the Aisch river valley.
  • E. Neuhaus an der Pegnitz
    Neuhaus an der Pegnitz is a market town in the Nürnberger Land district of Bavaria, Germany, known for its picturesque setting in the Franconian Switzerland region and its historic castle overlooking the Pegnitz River.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7f19ba08190a08cf5aea522c021 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.