Triple

T30338020
Position Surface form Disambiguated ID Type / Status
Subject Leela Chess Zero E771672 entity
Predicate usesInputRepresentation P103 FINISHED
Object bitboard-like planes for neural network 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: bitboard-like planes for neural network | Statement: [Leela Chess Zero, usesInputRepresentation, bitboard-like planes for neural network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesInputRepresentation
Context triple: [Leela Chess Zero, usesInputRepresentation, bitboard-like planes for neural network]
  • A. requiresRepresentationBy
    Indicates that one entity must be represented or acted for by another entity, typically in a formal, legal, or official capacity.
  • B. usesScientificInputFrom
    Indicates that one entity bases its decisions, actions, or processes on scientific data, analysis, or expertise provided by another entity.
  • C. canRepresent
    Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
  • D. hasRepresentationIn chosen
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • E. usesCoordinateRepresentation
    Indicates that one entity expresses or handles another entity in terms of a specific coordinate-based representation.
  • 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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f681cf69588190b1a6373ddf29dd6a completed May 2, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 7:54 p.m.