Triple

T10560498
Position Surface form Disambiguated ID Type / Status
Subject Arquus E249204 entity
Predicate collaboratesWith P37 FINISHED
Object Nexter E203360 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: Nexter | Statement: [Arquus, collaboratesWith, Nexter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nexter
Context triple: [Arquus, collaboratesWith, Nexter]
  • A. Nexter Systems chosen
    Nexter Systems is a French defense company specializing in the design and manufacture of military land systems, including armored vehicles, artillery, and ammunition.
  • B. Talos
    Talos is a giant bronze automaton from Greek mythology who guarded the island of Crete by circling its shores and hurling stones at approaching intruders.
  • C. Talos
    Talos is a Skrull leader and shapeshifting alien operative in the Marvel Cinematic Universe, prominently featured in the film "Captain Marvel."
  • D. Genisys
    Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
  • E. Panoptix
    Panoptix is a Johnson Controls software platform that provides cloud-based building management and energy optimization solutions.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5271f3c6c819080b49fbe3aa09e09 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:35 p.m.