Triple

T5923734
Position Surface form Disambiguated ID Type / Status
Subject Strongtalk E131754 entity
Predicate hasComponent P35 FINISHED
Object Strongtalk type checker E131754 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: Strongtalk type checker | Statement: [Strongtalk, hasComponent, Strongtalk type checker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strongtalk type checker
Context triple: [Strongtalk, hasComponent, Strongtalk type checker]
  • A. Strongtalk chosen
    Strongtalk is a high-performance, optionally statically typed implementation of the Smalltalk programming language that introduced advanced type system and virtual machine innovations.
  • B. typer
    Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), the author of FastAPI.
  • C. TokenTalk
    TokenTalk is a token-passing local area network protocol developed by Apple as a variant of its AppleTalk networking architecture.
  • D. Common Type System
    The Common Type System is a core component of the .NET architecture that defines how data types are declared, used, and managed across different .NET languages to ensure interoperability and type safety.
  • E. 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.
  • 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_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.