Triple

T4094720
Position Surface form Disambiguated ID Type / Status
Subject poverty of the stimulus argument E87785 entity
Predicate relatesTo P37 FINISHED
Object Gold’s theorem in language learnability E345811 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: Gold’s theorem in language learnability | Statement: [poverty of the stimulus argument, relatesTo, Gold’s theorem in language learnability]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold’s theorem in language learnability
Context triple: [poverty of the stimulus argument, relatesTo, Gold’s theorem in language learnability]
  • A. Mathematical Structures of Language
    Mathematical Structures of Language is a foundational work in mathematical linguistics that applies formal and algebraic methods to analyze the structure of natural languages.
  • B. General and Rational Grammar
    General and Rational Grammar is a 17th-century French linguistic treatise from the Port-Royal school that seeks to explain the universal, rational principles underlying all human languages.
  • C. Probably Approximately Correct learning (PAC learning) chosen
    Probably Approximately Correct (PAC) learning is a foundational framework in computational learning theory that formalizes what it means for an algorithm to efficiently learn a concept from examples with high probability and small error.
  • D. Lectures on Government and Binding
    Lectures on Government and Binding is a foundational book by Noam Chomsky that systematically presents the Government and Binding framework in generative syntax.
  • E. Principles and Parameters Theory
    Principles and Parameters Theory is a framework in generative linguistics that explains how universal grammatical principles and language-specific parameter settings account for the diversity and acquisition of human languages.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcdc1ce08190922f55f812b0fda3 completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6f8bb081908aa2d126fe3c9502 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.