Triple

T4039633
Position Surface form Disambiguated ID Type / Status
Subject Borsigwalde E83913 entity
Predicate namedAfter P63 FINISHED
Object Borsig engineering works E72033 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: Borsig engineering works | Statement: [Borsigwalde, namedAfter, Borsig engineering works]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borsig engineering works
Context triple: [Borsigwalde, namedAfter, Borsig engineering works]
  • A. Borsigwerke chosen
    Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
  • B. Gustloff-Werke
    Gustloff-Werke was a German arms manufacturer best known for producing rifles and other small arms for the Wehrmacht during the Nazi era.
  • C. Krupp (company)
    Krupp (company) was a major German industrial conglomerate best known for its steel production and armaments manufacturing, playing a central role in both World Wars and in the development of heavy industry in Germany.
  • D. Erla Maschinenwerk
    Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
  • E. Sieg Railway
    The Sieg Railway is a German rail line that runs through the Sieg Valley, connecting towns and cities along the River Sieg in North Rhine-Westphalia and Rhineland-Palatinate.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56299dbe88190b36f4a488201acd8 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:37 p.m.