Triple

T1923064
Position Surface form Disambiguated ID Type / Status
Subject AlphaZero E40166 entity
Predicate gameRepresentation P11038 FINISHED
Object board positions encoded for neural networks 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: board positions encoded for neural networks | Statement: [AlphaZero, gameRepresentation, board positions encoded for neural networks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gameRepresentation
Context triple: [AlphaZero, gameRepresentation, board positions encoded for neural networks]
  • A. gameState
    Indicates the current status or condition of a game at a particular point in time, including relevant rules, progress, and contextual information.
  • B. game2Location
    Indicates that a game takes place at, or is associated with, a specific location.
  • C. Game7Save
    Indicates a game situation where a player or team successfully preserves a lead in a decisive seventh game, securing the win under high-pressure, series-deciding conditions.
  • D. gameContext
    Indicates the situational framework or environment in which a game’s actions, rules, and interactions take place.
  • E. stateRepresentation chosen
    Indicates that one entity serves as a depiction, model, or encoding of the condition, configuration, or status 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb23459ac819088ded5bfac9d4aad completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.