Triple

T21855274
Position Surface form Disambiguated ID Type / Status
Subject MP 40 E539608 entity
Predicate manufacturer P490 FINISHED
Object Erma Werke 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: Erma Werke | Statement: [MP 40, manufacturer, Erma Werke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erma Werke
Context triple: [MP 40, manufacturer, Erma Werke]
  • A. Erma Werke chosen
    Erma Werke was a German arms manufacturer best known for producing small arms and submachine guns before and during World War II.
  • B. Buna-Werke
    Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
  • C. Erla Maschinenwerk
    Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
  • D. E.S. Mittler & Sohn
    E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
  • E. Haltmann Works Company
    Haltmann Works Company is a massive, technologically advanced corporate empire and the main antagonistic organization in the video game Kirby: Planet Robobot, known for mechanizing and exploiting entire worlds.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d635b59c81908810480f3802b847 completed April 28, 2026, 3:45 p.m.
Created at: April 16, 2026, 6:56 p.m.