Triple

T34197539
Position Surface form Disambiguated ID Type / Status
Subject Multi-Terrain Pattern E877282 entity
Predicate testingConductedBy P178515 FINISHED
Object UK Ministry of Defence NE NERFINISHED

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: UK Ministry of Defence | Statement: [Multi-Terrain Pattern, testingConductedBy, UK Ministry of Defence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testingConductedBy
Context triple: [Multi-Terrain Pattern, testingConductedBy, UK Ministry of Defence]
  • A. testConducted
    Indicates that a specific test or examination has been performed or carried out on an entity.
  • B. testedUnder
    Indicates that one entity is examined, evaluated, or experimented on while being subject to the conditions, environment, or parameters specified by another entity.
  • C. testedFor
    Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
  • D. testedAs
    Indicates that one entity has been evaluated, examined, or subjected to a test in the role or capacity of another specified entity or condition.
  • E. testedWith
    Indicates that one entity has been examined, evaluated, or verified using another entity as the test method, tool, or counterpart.
  • 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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f710aaff588190adc6cc5b7d5424cc completed May 3, 2026, 9:08 a.m.
PD Predicate disambiguation batch_69f70f3c5bfc81908585f52e196dafe5 completed May 3, 2026, 9:02 a.m.
PDg Predicate description generation batch_69f70fddd43c819088dee5a448c72cbe completed May 3, 2026, 9:05 a.m.
Created at: May 1, 2026, 1:55 a.m.