Triple

T15466007
Position Surface form Disambiguated ID Type / Status
Subject Boomerang Flower E372031 entity
Predicate powerUpType P108777 FINISHED
Object offensive power-up 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: offensive power-up | Statement: [Boomerang Flower, powerUpType, offensive power-up]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerUpType
Context triple: [Boomerang Flower, powerUpType, offensive power-up]
  • A. powerUp
    Indicates an action where an entity increases or restores another entity’s energy, strength, or functional capacity.
  • B. powerUpBehavior
    Indicates how an entity changes state or acts when it gains a power-up or temporary enhancement.
  • C. canBePoweredUp
    Indicates that an entity has the capability to receive additional power or energy, enhancing its state or functionality.
  • D. featuresPowerUp chosen
    Indicates that one entity includes, provides, or incorporates a power-up as part of its content or functionality.
  • E. enhancesPowersOf
    Indicates that one entity increases, amplifies, or strengthens the abilities or powers of 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69ded284bd008190b31c53b4f1cebadd completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:33 a.m.