Triple

T16285796
Position Surface form Disambiguated ID Type / Status
Subject K3 light machine gun E395384 entity
Predicate hasSelector P122530 FINISHED
Object full-automatic fire 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: full-automatic fire | Statement: [K3 light machine gun, hasSelector, full-automatic fire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSelector
Context triple: [K3 light machine gun, hasSelector, full-automatic fire]
  • A. hasSelectionFor
    Indicates that one entity holds or specifies a chosen option, subset, or configuration on behalf of another entity.
  • B. hasNotableSelector
    Indicates that an entity is associated with a particularly important or distinguished selector used to identify or access it.
  • C. isSelective
    Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
  • D. hasClassOptions
    Indicates that an entity is associated with one or more selectable class options or classifications.
  • E. hasSelectionBody
    Indicates that an entity includes or is associated with a specific selection body, i.e., the defined content or portion that has been selected.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69e219f68d308190b71c1601303f0628 completed April 17, 2026, 11:31 a.m.
PDg Predicate description generation batch_69e21e56e0348190a3d9475360231a70 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:05 a.m.