Triple

T5876951
Position Surface form Disambiguated ID Type / Status
Subject K9A2 E130648 entity
Predicate hasFireMissionCapability P67387 FINISHED
Object multiple-round simultaneous impact (MRSI) 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-round simultaneous impact (MRSI) | Statement: [K9A2, hasFireMissionCapability, multiple-round simultaneous impact (MRSI)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFireMissionCapability
Context triple: [K9A2, hasFireMissionCapability, multiple-round simultaneous impact (MRSI)]
  • A. operationalCapability
    Indicates the ability or readiness of an entity to perform a specific function, task, or operation effectively under defined conditions.
  • B. warfareCapability
    Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
  • C. hasFireControlSystem
    Indicates that an entity is equipped with or includes a fire control system used to detect, track, and direct weapons or suppression against targets.
  • D. aircraftCapability
    Indicates that an aircraft possesses a particular capability, function, or operational feature.
  • E. weaponCapability
    Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0432fea5881909f5c291dd8db6105 completed March 22, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69c033499ca08190bd26cee5b03f6306 completed March 22, 2026, 6:22 p.m.
PDg Predicate description generation batch_69c0432f06fc8190bc047d52ffc30d59 completed March 22, 2026, 7:29 p.m.
Created at: March 22, 2026, 3:57 p.m.