Triple

T34961433
Position Surface form Disambiguated ID Type / Status
Subject Matilda I infantry tank E1008266 entity
Predicate armorDescription P182142 FINISHED
Object heavily armored for its time but with limited thickness compared to later infantry tanks 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: heavily armored for its time but with limited thickness compared to later infantry tanks | Statement: [Matilda I infantry tank, armorDescription, heavily armored for its time but with limited thickness compared to later infantry tanks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: armorDescription
Context triple: [Matilda I infantry tank, armorDescription, heavily armored for its time but with limited thickness compared to later infantry tanks]
  • A. armorType
    Indicates the specific category or classification of protective armor associated with an entity.
  • B. armorFeature
    Indicates that one entity is a functional or descriptive feature of another entity’s armor.
  • C. armorName
    Indicates that an entity has or is associated with a specific name identifying its armor.
  • D. armorVariant
    Indicates that one armor is a specific version, type, or modification derived from another armor.
  • E. armour
    Indicates that an entity provides protective covering or defense for another entity.
  • F. None of above. chosen

Provenance (4 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_69f76dc69564819099e9e78aed6ff0a6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78710282c81909146dc0be91e983f completed May 3, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f784162134819098413482ef52042f completed May 3, 2026, 5:21 p.m.
PDg Predicate description generation batch_69f7870dfe108190996c0c68630edc7f completed May 3, 2026, 5:34 p.m.
Created at: May 3, 2026, 4 p.m.