Triple

T21768801
Position Surface form Disambiguated ID Type / Status
Subject SU-76 E537366 entity
Predicate armorThicknessMin P106455 FINISHED
Object about 7 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: about 7 mm | Statement: [SU-76, armorThicknessMin, about 7 mm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: armorThicknessMin
Context triple: [SU-76, armorThicknessMin, about 7 mm]
  • A. armorThicknessMax
    Indicates the maximum thickness of armor that an entity possesses or can withstand.
  • B. armourThicknessMin chosen
    Indicates the minimum measured or specified thickness of an object's armor in the described context.
  • C. deckArmorThickness
    Indicates the thickness of the armor plating on the horizontal deck surface of a vehicle, vessel, or structure.
  • D. armourThickness
    Indicates the measured thickness of an entity’s protective armor in the context of defense or shielding.
  • E. sideArmorThickness
    Indicates the thickness of an object's armor specifically along its sides.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031ac10808190837a0f69c4f8a02d completed April 28, 2026, 4:03 a.m.
PD Predicate disambiguation batch_69e6be6299988190a34c98fa76d94700 completed April 21, 2026, 12:01 a.m.
Created at: April 16, 2026, 6:51 p.m.