Triple

T2358452
Position Surface form Disambiguated ID Type / Status
Subject Dornier Flugzeugwerke E47211 entity
Predicate laterPartOf P35 FINISHED
Object DASA
DASA (Deutsche Aerospace AG) was a major German aerospace and defense company that became a core component of the later European aerospace giant Airbus Group.
 E258003 NE FINISHED

How this triple was built (4 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: DASA | Statement: [Dornier Flugzeugwerke, laterPartOf, DASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DASA
Context triple: [Dornier Flugzeugwerke, laterPartOf, DASA]
  • A. DASC
    DASC is a leading annual technical conference focused on digital avionics systems, organized jointly by IEEE and AIAA.
  • B. DSO
    DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
  • C. DSO
    DSO is a British military decoration awarded to officers for distinguished service in combat, typically in leadership roles.
  • D. Dass
    Dass is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • E. DPA
    DPA is the FAA location identifier for DuPage Airport, a general aviation airport serving the western suburbs of Chicago, Illinois.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DASA
Triple: [Dornier Flugzeugwerke, laterPartOf, DASA]
Generated description
DASA (Deutsche Aerospace AG) was a major German aerospace and defense company that became a core component of the later European aerospace giant Airbus Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DASA
Target entity description: DASA (Deutsche Aerospace AG) was a major German aerospace and defense company that became a core component of the later European aerospace giant Airbus Group.
  • A. DASC
    DASC is a leading annual technical conference focused on digital avionics systems, organized jointly by IEEE and AIAA.
  • B. DSO
    DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
  • C. DSO
    DSO is a British military decoration awarded to officers for distinguished service in combat, typically in leadership roles.
  • D. Dass
    Dass is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • E. DPA
    DPA is the FAA location identifier for DuPage Airport, a general aviation airport serving the western suburbs of Chicago, Illinois.
  • F. None of above. chosen

Provenance (5 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc71f767481908dfa9be209ea3c5a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9638ef948190adf945aba42fac76 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96fc0b508190b1da6aa41cddc488 completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae977e539c81909cef638cc61e5ec1 completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:55 p.m.