Triple

T9992282
Position Surface form Disambiguated ID Type / Status
Subject Knickebein E196914 entity
Predicate relatedTo P37 FINISHED
Object Y-Gerät E196915 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: Y-Gerät | Statement: [Knickebein, relatedTo, Y-Gerät]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Y-Gerät
Context triple: [Knickebein, relatedTo, Y-Gerät]
  • A. Y-Gerät chosen
    Y-Gerät was a World War II German radio navigation system used by the Luftwaffe for precision bombing guidance.
  • B. X-Gerät
    X-Gerät was an advanced World War II German radio navigation and bombing guidance system used by the Luftwaffe for precision night bombing.
  • C. Ngizmawa
    Ngizmawa is an alternative name for the Ngizim people, an ethnic group primarily found in northeastern Nigeria.
  • D. Gerät 040
    Gerät 040, also known as Karl-Gerät, was a massive German self-propelled siege mortar used during World War II for destroying heavily fortified positions.
  • E. Doro
    Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
  • 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_69cdcb95842c8190b8cdce9584f19840 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.