Triple

T2235592
Position Surface form Disambiguated ID Type / Status
Subject Leclerc main battle tank E49271 entity
Predicate fireControlFeature P37265 FINISHED
Object hunter-killer capability 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: hunter-killer capability | Statement: [Leclerc main battle tank, fireControlFeature, hunter-killer capability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fireControlFeature
Context triple: [Leclerc main battle tank, fireControlFeature, hunter-killer capability]
  • A. fireControlSystem
    Indicates a relationship where a system monitors, directs, and coordinates the detection, targeting, and firing of weapons or other actuators to control the application of force or energy.
  • B. 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.
  • C. fireModes
    Indicates the different ways or settings in which a weapon or device can be fired or operated.
  • D. rateOfFire
    Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
  • E. gunStabilisation
    Indicates that an entity performs or provides stabilization for a gun, reducing its movement or recoil to improve accuracy.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc093ba0c819091df09a0e018fce1 completed March 7, 2026, 6:07 a.m.
PD Predicate disambiguation batch_69abbdafc07881909101266a33ae7031 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbf9c77fc8190a323bcaf644fb2c5 completed March 7, 2026, 6:03 a.m.
Created at: March 4, 2026, 7:47 p.m.