Triple

T7116743
Position Surface form Disambiguated ID Type / Status
Subject Big Bertha howitzer E165838 entity
Predicate logisticalRequirement P28516 FINISHED
Object multiple transport wagons 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: multiple transport wagons | Statement: [Big Bertha howitzer, logisticalRequirement, multiple transport wagons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: logisticalRequirement
Context triple: [Big Bertha howitzer, logisticalRequirement, multiple transport wagons]
  • A. logisticalCharacteristic chosen
    Indicates the logistical properties or constraints associated with an entity, such as how it is stored, transported, handled, or supplied.
  • B. logisticsSupportFrom
    Indicates that one entity provides logistical assistance, resources, or services to another entity.
  • C. logisticalEffect
    Indicates the impact that one event, action, or condition has on the planning, coordination, or execution of logistical operations.
  • D. spaceRequirements
    Indicates the amount and type of physical or storage space needed for something to be properly placed, installed, or operated.
  • E. productionRequirement
    Indicates a condition or resource that must be fulfilled or available for a production process or activity to take place.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e617a528819085d4b8e1b5699966 completed March 27, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69c6e1c4f9788190830288d00cc37026 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:43 p.m.