Triple

T15838635
Position Surface form Disambiguated ID Type / Status
Subject DLR Trauen site E384044 entity
Predicate hasAbbreviation P43 FINISHED
Object DLR Trauen E384044 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 Trauen | Statement: [DLR Trauen site, hasAbbreviation, DLR Trauen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DLR Trauen
Context triple: [DLR Trauen site, hasAbbreviation, DLR Trauen]
  • A. DLR Trauen site chosen
    The DLR Trauen site is a German Aerospace Center (DLR) research facility in Trauen focused on aerospace, propulsion, and related technological development and testing.
  • B. German Aerospace Center (DLR)
    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.
  • C. DLR Group
    DLR Group is a global integrated design firm known for its architecture, engineering, planning, and interiors work across a wide range of building types.
  • D. Oberpfaffenhofen
    Oberpfaffenhofen is a Bavarian research hub best known for hosting one of Germany’s major aerospace and space technology centers.
  • E. DLR
    DLR (Docklands Light Railway) is an automated light metro system serving the Docklands area and parts of East and Southeast London.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e4fa24819086a1a226082ac2d3 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59bc1f881908c5ed93039e94a46 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:49 a.m.