Triple

T17319672
Position Surface form Disambiguated ID Type / Status
Subject Focke-Wulf Fw 56 Stösser E420522 entity
Predicate powerplant P9904 FINISHED
Object Argus As 10 E499435 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: Argus As 10 | Statement: [Focke-Wulf Fw 56 Stösser, powerplant, Argus As 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argus As 10
Context triple: [Focke-Wulf Fw 56 Stösser, powerplant, Argus As 10]
  • A. Argus As 10 chosen
    The Argus As 10 is a German air-cooled inverted V8 aircraft engine widely used in light aircraft and trainers during the 1930s and World War II.
  • B. Argus As 014
    Argus As 014 was a German World War II pulsejet engine best known for powering the V-1 flying bomb.
  • C. The Argus
    The Argus was a prominent Melbourne-based newspaper in 19th-century Australia, known for its influence on public opinion and literary culture.
  • D. Argus
    Argus is a many-eyed giant from Greek mythology best known for his role as a vigilant guardian.
  • E. Argus
    Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439a066b481908e8aee1885809eba completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e9f4108190861074b88cb2bb8a completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.