Triple

T37665049
Position Surface form Disambiguated ID Type / Status
Subject The End E937801 entity
Predicate hasUniqueMechanic P134343 FINISHED
Object dragon respawn using end crystals 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: dragon respawn using end crystals | Statement: [The End, hasUniqueMechanic, dragon respawn using end crystals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUniqueMechanic
Context triple: [The End, hasUniqueMechanic, dragon respawn using end crystals]
  • A. hasMechanicalFeature chosen
    Indicates that one entity possesses, includes, or is characterized by a specific mechanical component, attribute, or functionality.
  • B. notableLevelMechanic
    Indicates that an entity is recognized for its significant involvement in designing, implementing, or innovating game level mechanics.
  • C. gameplayMechanic
    Indicates a relationship where one entity functions as a rule, system, or interactive feature that defines how another entity can be played or operated within a game.
  • D. hasMechanism
    Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
  • E. hasRotationMechanic
    Indicates that the subject includes or supports a gameplay or functional mechanic involving rotation or turning as a core interaction.
  • 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_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
Created at: May 3, 2026, 4:18 p.m.