Triple

T17583656
Position Surface form Disambiguated ID Type / Status
Subject Altensteig E428264 entity
Predicate hasSubdivision P747 FINISHED
Object Altensteigdorf NE NERFINISHED

How this triple was built (3 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: Altensteigdorf | Statement: [Altensteig, hasSubdivision, Altensteigdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altensteigdorf
Context triple: [Altensteig, hasSubdivision, Altensteigdorf]
  • A. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • B. Altenrüthen
    Altenrüthen is a village-level subdivision of the town of Rüthen in the state of North Rhine-Westphalia, Germany.
  • C. Altenkunstadt
    Altenkunstadt is a market town in Upper Franconia, Bavaria, Germany, situated on the river Main and known for its historic center and regional textile and shoe industries.
  • D. Eltersdorf
    Eltersdorf is a district of the Bavarian city of Erlangen in Germany, known for its residential character and local transport connections.
  • E. Altenau
    Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Altensteigdorf
Target entity description: Altensteigdorf is a village-level district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
  • A. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • B. Altenrüthen
    Altenrüthen is a village-level subdivision of the town of Rüthen in the state of North Rhine-Westphalia, Germany.
  • C. Altenkunstadt
    Altenkunstadt is a market town in Upper Franconia, Bavaria, Germany, situated on the river Main and known for its historic center and regional textile and shoe industries.
  • D. Eltersdorf
    Eltersdorf is a district of the Bavarian city of Erlangen in Germany, known for its residential character and local transport connections.
  • E. Altenau
    Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
  • F. None of above. chosen

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d015fc8190b2dd897026d6fcb5 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.