Triple

T32766392
Position Surface form Disambiguated ID Type / Status
Subject SP5 (civilian variant) E837912 entity
Predicate designedToRetain P196911 FINISHED
Object MP5 ergonomics 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: MP5 ergonomics | Statement: [SP5 (civilian variant), designedToRetain, MP5 ergonomics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedToRetain
Context triple: [SP5 (civilian variant), designedToRetain, MP5 ergonomics]
  • A. proposedToRetain
    Indicates that one entity has suggested or decided to keep or continue maintaining another entity in its current role, state, or possession.
  • B. canRetain
    Indicates that one entity has the ability or permission to keep, hold, or maintain possession or control of another entity over time.
  • C. retained
    Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
  • D. mustRetain
    Indicates that an entity is required to keep or preserve another entity and is not allowed to discard, delete, or release it.
  • E. designedToReplicate
    Indicates that one entity is intentionally created or configured to imitate, reproduce, or copy the form, function, or behavior of 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_69f34939857c8190aa9970c51feec1eb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe6e492bf8819080b25221d13445ea completed May 8, 2026, 11:14 p.m.
PD Predicate disambiguation batch_69fe6dd33a6881908fe9bbbc184cab51 completed May 8, 2026, 11:12 p.m.
PDg Predicate description generation batch_69fe6e4801108190a6be6bec2d52a1b9 completed May 8, 2026, 11:14 p.m.
Created at: May 1, 2026, 1:13 a.m.