Triple

T33766848
Position Surface form Disambiguated ID Type / Status
Subject Mark 53 nuclear bomb E865252 entity
Predicate destructiveCapability P7134 FINISHED
Object city-scale destruction 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: city-scale destruction | Statement: [Mark 53 nuclear bomb, destructiveCapability, city-scale destruction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: destructiveCapability
Context triple: [Mark 53 nuclear bomb, destructiveCapability, city-scale destruction]
  • A. threatensToDestroy
    Indicates that one entity has expressed an intention or warning that it will cause the complete ruin or elimination of another entity or object.
  • B. defensiveCapability
    Indicates the ability or capacity of an entity to protect itself or others against threats, attacks, or harm.
  • C. typeOfDestruction
    Indicates the specific manner or method by which something is destroyed or caused to cease to exist.
  • D. weaponCapability chosen
    Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
  • E. designedToDestroy
    Indicates that one entity was intentionally created or configured for the purpose of damaging, disabling, or annihilating another 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_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.