Triple

T3738514
Position Surface form Disambiguated ID Type / Status
Subject Carl-Gustaf recoilless rifle E79642 entity
Predicate typicalEffectiveRange P13474 FINISHED
Object up to about 700 m with anti-armor rounds 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: up to about 700 m with anti-armor rounds | Statement: [Carl-Gustaf recoilless rifle, typicalEffectiveRange, up to about 700 m with anti-armor rounds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalEffectiveRange
Context triple: [Carl-Gustaf recoilless rifle, typicalEffectiveRange, up to about 700 m with anti-armor rounds]
  • A. typicalRange chosen
    Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
  • B. typicalEnergyRange
    Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
  • C. typicalLength
    Indicates the usual or characteristic length associated with an entity or phenomenon.
  • D. typicalPegRange
    Indicates the usual or standard range of peg values within which something is normally maintained or expected to operate.
  • E. typicalRuntimeRange
    Indicates the usual lower and upper bounds of time typically required for an entity to run or complete its operation.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3e9248819098d481fe29e1c628 completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc048f28c819092bed16a95a3cac1 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.