Triple

T37664591
Position Surface form Disambiguated ID Type / Status
Subject Skeleton (Java Edition, certain conditions) E937792 entity
Predicate usesRangedWeapon P706 FINISHED
Object bow 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: bow | Statement: [Skeleton (Java Edition, certain conditions), usesRangedWeapon, bow]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesRangedWeapon
Context triple: [Skeleton (Java Edition, certain conditions), usesRangedWeapon, bow]
  • A. hasFiringRange
    Indicates that one entity possesses or provides a designated area or capability for discharging weapons over a specified distance.
  • B. usedWeapon chosen
    Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
  • C. weaponUsedOn
    Indicates that a particular weapon was employed or applied against a specific target or entity.
  • D. armedBy
    Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
  • E. weaponUsedIn
    Indicates that a particular weapon is employed or involved in carrying out a specific event or action.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbb9e8108c8190ae1c7940b1677e95 completed May 6, 2026, 10 p.m.
PD Predicate disambiguation batch_69fbb141605c8190b9c27d70352522db completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:18 p.m.