Triple

T2970139
Position Surface form Disambiguated ID Type / Status
Subject FB Beryl E80258 entity
Predicate firingModes P9011 FINISHED
Object safe 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: safe | Statement: [FB Beryl, firingModes, safe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firingModes
Context triple: [FB Beryl, firingModes, safe]
  • A. fireModes chosen
    Indicates the different ways or settings in which a weapon or device can be fired or operated.
  • B. rateOfFire
    Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
  • C. fireControlFeature
    Indicates a relationship where an entity possesses or is associated with a capability or mechanism for directing, managing, or controlling the use of fire or weapon fire.
  • D. 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.
  • E. gunType
    Indicates the specific category or kind of gun associated with an entity.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad997282b481909d078be0e70d9930 completed March 8, 2026, 3:44 p.m.
PD Predicate disambiguation batch_69ad960e71f8819088179d11248c6ed0 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:58 p.m.