Triple

T30316766
Position Surface form Disambiguated ID Type / Status
Subject Gu Li E771076 entity
Predicate gameNotation P168839 FINISHED
Object plays on 19x19 board 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: plays on 19x19 board | Statement: [Gu Li, gameNotation, plays on 19x19 board]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gameNotation
Context triple: [Gu Li, gameNotation, plays on 19x19 board]
  • A. WhyteNotation
    Indicates a classification relationship where a steam locomotive is described by its wheel arrangement using the Whyte notation system.
  • B. positionInNotation
    Indicates the specific place or index that an element occupies within a given ordered notation or representation.
  • C. inChess
    Indicates that the relationship or action occurs within the context, rules, or domain of the game of chess.
  • D. typicalNotation
    Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
  • E. BobbyFischerScore
    Indicates the score or point outcome associated with Bobby Fischer in a given game, match, or event.
  • 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_69f22488f224819081b0f3ec41ab975c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6819505d48190a37f6ce47a34e309 completed May 2, 2026, 10:58 p.m.
PD Predicate disambiguation batch_69f67603526c81908295a1ece8727c66 completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676f73c3481909f01fa69851b7298 completed May 2, 2026, 10:13 p.m.
Created at: April 29, 2026, 7:51 p.m.