Triple

T33964817
Position Surface form Disambiguated ID Type / Status
Subject T-14 Armata E870821 entity
Predicate hasActiveProtectionSystem P58878 FINISHED
Object Afganit active protection system 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: Afganit active protection system | Statement: [T-14 Armata, hasActiveProtectionSystem, Afganit active protection system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasActiveProtectionSystem
Context triple: [T-14 Armata, hasActiveProtectionSystem, Afganit active protection system]
  • A. hasIntruderDetectionSystem
    Indicates that an entity is equipped with a system designed to detect unauthorized or intruding entities.
  • B. hasEmergencySystems
    Indicates that the subject is equipped with or includes systems designed to detect, respond to, or manage emergency situations.
  • C. isPartOfSystemProtecting chosen
    Indicates that one entity functions as a component within a larger system whose purpose is to provide protection.
  • D. thermalProtectionSystemComplete
    Indicates that all components and requirements of the thermal protection system have been fully implemented and are ready for operation.
  • E. hasSafetyCharacteristic
    Indicates that an entity possesses a specific safety-related property, feature, or attribute.
  • 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_69f3499ce8e88190b66e1d49ad8c7037 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: May 1, 2026, 1:50 a.m.