Triple

T5923905
Position Surface form Disambiguated ID Type / Status
Subject OCaml E131758 entity
Predicate influencedBy P9 FINISHED
Object Standard ML E230804 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: Standard ML | Statement: [OCaml, influencedBy, Standard ML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard ML
Context triple: [OCaml, influencedBy, Standard ML]
  • A. Standard ML chosen
    Standard ML is a statically typed functional programming language with type inference and a formal semantics, widely used in programming language research and teaching.
  • B. The Definition of Standard ML
    The Definition of Standard ML is the formal language specification that rigorously defines the syntax and semantics of the Standard ML functional programming language.
  • C. Hindley–Milner type system
    The Hindley–Milner type system is a classical polymorphic type system used in many functional programming languages, notable for enabling type inference without explicit type annotations.
  • D. OCaml
    OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
  • E. ReasonML
    ReasonML is a syntax and toolchain for the OCaml language that offers a JavaScript-friendly, type-safe alternative for building web and native applications.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03851189c819094524e8b5080545e completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108186c64819088c21e9b5408d5f1 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4 p.m.