Triple

T35571465
Position Surface form Disambiguated ID Type / Status
Subject Chess E1027950 entity
Predicate hasBoardColors P195790 FINISHED
Object light and dark 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: light and dark | Statement: [Chess, hasBoardColors, light and dark]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBoardColors
Context triple: [Chess, hasBoardColors, light and dark]
  • A. hasBoardType
    Indicates that an entity is associated with or uses a specific type or category of board.
  • B. hasDiscColors
    Indicates that an entity possesses one or more specified colors on its disc or disc-like component.
  • C. hasBoardComposition
    Indicates that an entity has a specific structure or makeup of its governing board, such as the types or proportions of members who serve on it.
  • D. plateColor
    Indicates that an entity has a specific color attribute associated with its plate.
  • E. hasBoards
    Indicates that an entity possesses, is equipped with, or includes one or more boards as part of its structure, components, or resources.
  • F. None of above. chosen

Provenance (4 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_69f76e0386688190b931bacdc145938c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fde5d7d9548190880a9d95b8f0f66b completed May 8, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69fde4e1bf9c81909754545275eccc03 completed May 8, 2026, 1:28 p.m.
PDg Predicate description generation batch_69fde5d677b88190bc904e6df8617c18 completed May 8, 2026, 1:32 p.m.
Created at: May 3, 2026, 4:04 p.m.