Triple

T38593593
Position Surface form Disambiguated ID Type / Status
Subject Fan of Blades E932509 entity
Predicate canHitMultipleTargets P191273 FINISHED
Object true 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: true | Statement: [Fan of Blades, canHitMultipleTargets, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canHitMultipleTargets
Context triple: [Fan of Blades, canHitMultipleTargets, true]
  • A. hasTargetVictims
    Indicates that an action, event, or entity is directed toward or intended to affect specific victims.
  • B. supportsMultipleOnSameTarget
    Indicates that the relationship or action can be applied multiple times concurrently to the same target entity.
  • C. canTarget
    Indicates that one entity is able or permitted to select, aim at, or direct its action or effect toward another entity as a target.
  • D. canTrackTargetsSimultaneously
    Indicates the ability of an entity to follow or monitor multiple targets at the same time.
  • E. canOperateInMultiple
    Indicates that an entity is capable of functioning or being used across more than one context, environment, or mode.
  • 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
PDg Predicate description generation batch_69fcdb0cf6008190b27046b694f84356 completed May 7, 2026, 6:33 p.m.
Created at: May 3, 2026, 4:32 p.m.