Triple

T37509418
Position Surface form Disambiguated ID Type / Status
Subject Holy Light E932177 entity
Predicate hasGameMechanicRole P100032 FINISHED
Object healing school of magic 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: healing school of magic | Statement: [Holy Light, hasGameMechanicRole, healing school of magic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGameMechanicRole
Context triple: [Holy Light, hasGameMechanicRole, healing school of magic]
  • A. 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.
  • B. notableLevelMechanic
    Indicates that an entity is recognized for its significant involvement in designing, implementing, or innovating game level mechanics.
  • C. roleInGameplay chosen
    Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
  • D. hasRitualRoleIn
    Indicates that an entity serves a specific ritual function or role within a particular ritual, ceremony, or sacred practice.
  • E. showdown!Role
    Indicates a role or function that an entity assumes or performs within the context of a showdown or competitive confrontation.
  • 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_69f76ec5268481909ea01c73aeeefd42 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbbc49da8c8190902bbb05d2477cab completed May 6, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69fbb13f34b08190bbbb220ac1e6e666 completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:17 p.m.