Triple

T20668402
Position Surface form Disambiguated ID Type / Status
Subject Goitzsche lake E507951 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Mühlbeck NE NERFINISHED

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: Mühlbeck | Statement: [Goitzsche lake, hasNearbyVillage, Mühlbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mühlbeck
Context triple: [Goitzsche lake, hasNearbyVillage, Mühlbeck]
  • A. Mühlbeck chosen
    Mühlbeck is a small settlement in Saxony-Anhalt, Germany, situated near the Goitzsche landscape park and the town of Bitterfeld.
  • B. Miedelsbach
    Miedelsbach is a village and district of the town of Schorndorf in the Rems-Murr district of Baden-Württemberg, Germany.
  • C. Wahmbeck
    Wahmbeck is a district of the German town of Lemgo in the state of North Rhine-Westphalia.
  • D. Münnich
    Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
  • E. Neumühl
    Neumühl is a district of the town of Kehl in the German state of Baden-Württemberg, located near the French border by Strasbourg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.