Triple

T3729112
Position Surface form Disambiguated ID Type / Status
Subject ASI E79018 entity
Predicate collaboratesWith P37 FINISHED
Object DLR E15966 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: DLR | Statement: [ASI, collaboratesWith, DLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DLR
Context triple: [ASI, collaboratesWith, DLR]
  • A. German Aerospace Center (DLR) chosen
    The German Aerospace Center (DLR) is Germany’s national research center for aeronautics and space, conducting cutting-edge research and development in aviation, spaceflight, energy, transport, and security.
  • B. DFS (Deutsche Forschungsanstalt für Segelflug)
    DFS (Deutsche Forschungsanstalt für Segelflug) was a German research institute specializing in glider and aeronautical development, notable for pioneering work in sailplane design and early aerodynamics.
  • C. Oberpfaffenhofen
    Oberpfaffenhofen is a Bavarian research hub best known for hosting one of Germany’s major aerospace and space technology centers.
  • D. Lippisch
    Lippisch is a German surname most notably associated with Alexander Lippisch, a pioneering aeronautical engineer known for his work on delta-wing aircraft designs.
  • E. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb17432881909390284b935ed3fd completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db13d34881909fa74c682184b797 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.