Triple

T13085861
Position Surface form Disambiguated ID Type / Status
Subject C-Stoff E310333 entity
Predicate developedBy P73 FINISHED
Object Walterwerke E311231 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: Walterwerke | Statement: [C-Stoff, developedBy, Walterwerke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walterwerke
Context triple: [C-Stoff, developedBy, Walterwerke]
  • A. Walterwerke chosen
    Walterwerke was a German engineering company best known for developing advanced rocket and propulsion systems during World War II.
  • B. Ulysse Nardin
    Ulysse Nardin is a Swiss luxury watchmaker renowned for its high-end marine chronometers and innovative horological complications.
  • C. A. Lange & Söhne
    A. Lange & Söhne is a prestigious German luxury watchmaker renowned for its high-end mechanical timepieces and meticulous craftsmanship.
  • D. Johannes Faber
    Johannes Faber was a German physician, anatomist, and naturalist of the early 17th century, known for his work in Rome and his involvement with leading scientific circles of his time.
  • E. Longines
    Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:02 p.m.