Triple

T4737221
Position Surface form Disambiguated ID Type / Status
Subject FV101 Scorpion E105153 entity
Predicate armorLayout P32307 FINISHED
Object welded aluminium hull 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: welded aluminium hull | Statement: [FV101 Scorpion, armorLayout, welded aluminium hull]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: armorLayout
Context triple: [FV101 Scorpion, armorLayout, welded aluminium hull]
  • A. armorFeature chosen
    Indicates that one entity is a functional or descriptive feature of another entity’s armor.
  • B. armorType
    Indicates the specific category or classification of protective armor associated with an entity.
  • C. armorBelt
    Indicates that an entity is equipped with or wearing an armor belt as part of its protective gear.
  • D. armour
    Indicates that an entity provides protective covering or defense for another entity.
  • E. 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.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64844b7081909c9d36e4b461379e completed March 20, 2026, 3:15 p.m.
PD Predicate disambiguation batch_69bd6221c3b881908604f35f8de6f16b completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:19 p.m.