Triple

T5173733
Position Surface form Disambiguated ID Type / Status
Subject Messerschmitt Bf 108 Taifun E116744 entity
Predicate powerplant P9904 FINISHED
Object Argus As 10
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.
 E499435 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: Argus As 10 | Statement: [Messerschmitt Bf 108 Taifun, powerplant, Argus As 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Argus As 10
Context triple: [Messerschmitt Bf 108 Taifun, powerplant, Argus As 10]
  • A. Argus As 014
    Argus As 014 was a German World War II pulsejet engine best known for powering the V-1 flying bomb.
  • B. Argus
    Argus is a many-eyed giant from Greek mythology best known for his role as a vigilant guardian.
  • C. 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.
  • D. Argos
    Argos is one of the oldest continuously inhabited cities in Greece, located in the Peloponnese and historically significant as a major center of ancient Greek civilization.
  • E. Argos
    Argos is a major UK-based catalogue and online retailer known for offering a wide range of household goods, electronics, toys, and more through both physical stores and digital channels.
  • 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: Argus As 10
Triple: [Messerschmitt Bf 108 Taifun, powerplant, Argus As 10]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Argus As 10
Target entity description: 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.
  • A. Argus As 014
    Argus As 014 was a German World War II pulsejet engine best known for powering the V-1 flying bomb.
  • B. Argus
    Argus is a many-eyed giant from Greek mythology best known for his role as a vigilant guardian.
  • C. 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.
  • D. Argos
    Argos is one of the oldest continuously inhabited cities in Greece, located in the Peloponnese and historically significant as a major center of ancient Greek civilization.
  • E. Argos
    Argos is a major UK-based catalogue and online retailer known for offering a wide range of household goods, electronics, toys, and more through both physical stores and digital channels.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd796f7c308190a721e33aabd499ac completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94a6ed08190b035afa20123c737 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bed9d6e1288190be0d8d83233eb3c2 completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69beda5d39b88190a7314f673de2719d completed March 21, 2026, 5:50 p.m.
Created at: March 20, 2026, 1:45 p.m.