Triple

T37460671
Position Surface form Disambiguated ID Type / Status
Subject Haunted Creeper E930907 entity
Predicate boardClearResilience P190540 FINISHED
Object Good against single-target removal 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: Good against single-target removal | Statement: [Haunted Creeper, boardClearResilience, Good against single-target removal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: boardClearResilience
Context triple: [Haunted Creeper, boardClearResilience, Good against single-target removal]
  • A. clearingSystem
    Indicates that one entity functions as the financial clearing mechanism or infrastructure used to settle transactions for another entity.
  • B. cleared
    Indicates that an entity has removed obstacles, doubts, or restrictions from another entity or from a particular state or situation.
  • C. isClearedBy
    Indicates that one entity removes an obstruction, restriction, or pending status from another entity, allowing it to proceed or be considered resolved.
  • D. clearedOf
    Indicates that an entity has been officially found not responsible for, or freed from suspicion of, a previously alleged wrongdoing, charge, or negative condition.
  • E. board
    Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
  • 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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcc7779d248190afdb348a95375443 completed May 7, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
PDg Predicate description generation batch_69fcc73264e08190b0b5917f32226fae completed May 7, 2026, 5:09 p.m.
Created at: May 3, 2026, 4:17 p.m.