Triple

T15588676
Position Surface form Disambiguated ID Type / Status
Subject armasuisse E374686 entity
Predicate officialName P66 FINISHED
Object armasuisse E374686 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: armasuisse | Statement: [armasuisse, officialName, armasuisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: armasuisse
Context triple: [armasuisse, officialName, armasuisse]
  • A. armasuisse chosen
    armasuisse is the Swiss federal competence center responsible for procuring and managing military and security-related equipment and technology.
  • B. armasuisse Command and Control Systems
    armasuisse Command and Control Systems is a specialized division of Switzerland’s federal armaments agency responsible for procuring, testing, and managing military command, control, communications, and related information systems.
  • C. Helvetia
    Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
  • D. SWISS
    SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
  • E. Swiss Army
    The Swiss Army is Switzerland’s national military force, responsible for the country’s defense and organized primarily as a militia with a small professional core.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4a19708190936118d569f3436d completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678536d48190a0192c79f7c281e7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:11 a.m.