Triple

T35561849
Position Surface form Disambiguated ID Type / Status
Subject Impero E1027654 entity
Predicate designedArmorBelt P38465 FINISHED
Object up to 350 mm LITERAL 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: up to 350 mm | Statement: [Impero, designedArmorBelt, up to 350 mm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedArmorBelt
Context triple: [Impero, designedArmorBelt, up to 350 mm]
  • A. armorBelt
    Indicates that an entity is equipped with or wearing an armor belt as part of its protective gear.
  • B. armourBelt
    Indicates a relationship where an armour belt is equipped on, attached to, or associated with an entity (such as a character, vehicle, or structure) as protective gear.
  • C. designedArmor
    Indicates that one entity created or planned the armor used or worn by another entity.
  • D. armoredBeltThickness chosen
    Indicates the thickness of an entity’s protective armored belt in the context of its defensive structure or design.
  • E. hasPhysicalBelt
    Indicates that one entity possesses or is equipped with a physical belt as an item or feature.
  • F. None of above.

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_69f76e020fd8819081cb080e7e203083 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff234f32888190a1d800a3bda432eb completed May 9, 2026, 12:06 p.m.
PD Predicate disambiguation batch_69ff228ae9a0819083f4b97c10b923f4 completed May 9, 2026, 12:03 p.m.
Created at: May 3, 2026, 4:04 p.m.