Triple

T381325
Position Surface form Disambiguated ID Type / Status
Subject CV90 E8684 entity
Predicate designedBy P184 FINISHED
Object Hägglunds
Hägglunds is a Swedish defense and engineering company best known for developing and producing armored combat vehicles and other military land systems.
 E48540 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: Hägglunds | Statement: [CV90, designedBy, Hägglunds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hägglunds
Context triple: [CV90, designedBy, Hägglunds]
  • A. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • B. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • C. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • D. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • E. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • 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: Hägglunds
Triple: [CV90, designedBy, Hägglunds]
Generated description
Hägglunds is a Swedish defense and engineering company best known for developing and producing armored combat vehicles and other military land systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hägglunds
Target entity description: Hägglunds is a Swedish defense and engineering company best known for developing and producing armored combat vehicles and other military land systems.
  • A. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • B. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • C. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • D. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • E. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2c95088190a603bb1ee076ebd6 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3faffa5848190b77503516f3d0ba6 completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fb912d9881909d8eb02cdae70163 completed March 1, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3fd99e73c8190b5a92856ca0a4b82 completed March 1, 2026, 8:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.