Triple

T20136153
Position Surface form Disambiguated ID Type / Status
Subject MMX E491029 entity
Predicate internationalCollaboration P10962 FINISHED
Object DLR 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: DLR | Statement: [MMX, internationalCollaboration, DLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DLR
Context triple: [MMX, internationalCollaboration, DLR]
  • A. DLR
    DLR (Docklands Light Railway) is an automated light metro system serving the Docklands area and parts of East and Southeast London.
  • B. 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.
  • C. 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.
  • D. DLR Trauen site
    The DLR Trauen site is a German Aerospace Center (DLR) research facility in Trauen focused on aerospace, propulsion, and related technological development and testing.
  • E. DLR Cologne campus
    DLR Cologne campus is a major research site of the German Aerospace Center in Cologne, hosting facilities and institutes focused on aerospace, energy, and transportation research.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66767ba3881909c2bcb74a986bd29 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.