Triple

T2260356
Position Surface form Disambiguated ID Type / Status
Subject VBCI E50023 entity
Predicate manufacturer P490 FINISHED
Object Arquus
Arquus is a French defense company specializing in the design and production of military vehicles and armored systems.
 E249204 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: Arquus | Statement: [VBCI, manufacturer, Arquus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arquus
Context triple: [VBCI, manufacturer, Arquus]
  • A. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • B. Paeligni
    The Paeligni were an ancient Italic tribe of central Italy, closely associated with the Samnites and known for their role in early Roman history and the Social War.
  • C. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • D. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • E. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • 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: Arquus
Triple: [VBCI, manufacturer, Arquus]
Generated description
Arquus is a French defense company specializing in the design and production of military vehicles and armored systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arquus
Target entity description: Arquus is a French defense company specializing in the design and production of military vehicles and armored systems.
  • A. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • B. Paeligni
    The Paeligni were an ancient Italic tribe of central Italy, closely associated with the Samnites and known for their role in early Roman history and the Social War.
  • C. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • D. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • E. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc15be1288190a55c12674f4a5e03 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72a2b92c8190a7d4ff441f1cb1ce completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae732a7cf08190b119ca7809350269 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.