Triple

T18464143
Position Surface form Disambiguated ID Type / Status
Subject Algol family E451112 entity
Predicate influenced P9 FINISHED
Object Nim programming language NE NERFINISHED

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: Nim programming language | Statement: [Algol family, influenced, Nim programming language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nim programming language
Context triple: [Algol family, influenced, Nim programming language]
  • A. NIM
    NIM is the IATA airport code for Diori Hamani International Airport, the main airport serving Niamey, the capital of Niger.
  • B. Limbo programming language
    Limbo is a concurrent, modular programming language designed at Bell Labs for building distributed systems, notably used in the Inferno operating system.
  • C. Vale programming language
    Vale is a memory-safe, performance-focused systems programming language that explores region-based memory management and borrow-checking concepts similar to those in Rust.
  • D. Nim
    Nim is a classic impartial combinatorial game of removing objects from heaps, fundamental in game theory and central to the development of the Sprague–Grundy theorem.
  • E. Nim chosen
    Nim is a statically typed, compiled programming language that emphasizes performance, expressiveness, and a Python-like syntax while targeting C, C++, and JavaScript backends.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a8190508190a74b1d3482364905 completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.