Triple

T9992319
Position Surface form Disambiguated ID Type / Status
Subject Y-Gerät E196915 entity
Predicate predecessor P97 FINISHED
Object Knickebein E196914 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: Knickebein | Statement: [Y-Gerät, predecessor, Knickebein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knickebein
Context triple: [Y-Gerät, predecessor, Knickebein]
  • A. Knickebein chosen
    Knickebein was a German World War II radio navigation system used by the Luftwaffe to guide bombers accurately to their targets, particularly during night raids over Britain.
  • B. Klötze
    Klötze is a small town in the Altmark region of Saxony-Anhalt in central Germany.
  • C. Schmarbeck
    Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
  • D. Cranzahl
    Cranzahl is a village in Saxony, Germany, known for its railway connections, including serving as a junction on regional and heritage rail lines.
  • E. Habicht
    Habicht is a prominent mountain peak in the Stubai Alps of Tyrol, Austria, known for its striking pyramid shape and popularity among experienced climbers.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb96c7308190902802ef5df764c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d25821dde881909f5d4cc6ad048b01 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.