Triple

T3744771
Position Surface form Disambiguated ID Type / Status
Subject shunting-yard algorithm E79783 entity
Predicate relatedTo P37 FINISHED
Object Reverse Polish notation E232845 NE 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: Reverse Polish notation | Statement: [shunting-yard algorithm, relatedTo, Reverse Polish notation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reverse Polish notation
Context triple: [shunting-yard algorithm, relatedTo, Reverse Polish notation]
  • A. Reverse Polish Notation chosen
    Reverse Polish Notation is a mathematical expression format that places operators after their operands, eliminating the need for parentheses and simplifying stack-based computation.
  • B. shunting-yard algorithm
    The shunting-yard algorithm is a method for parsing mathematical expressions and converting infix notation to postfix (or prefix) form using a stack-based procedure.
  • C. Knuth’s up-arrow notation
    Knuth’s up-arrow notation is a mathematical notation introduced by Donald Knuth to concisely represent very large integers using iterated exponentiation and its higher-order generalizations.
  • D. Peano notation
    Peano notation is a formal symbolic system for representing natural numbers and arithmetic operations using axioms and successor functions, developed by Giuseppe Peano.
  • E. Marzullo's algorithm
    Marzullo's algorithm is a method for selecting the most likely correct time interval from multiple, possibly conflicting time sources, commonly used in clock synchronization systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb58c9048190a055d1f4a7e6b699 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5005b18819083890de9eb985794 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:34 p.m.