Triple

T3094336
Position Surface form Disambiguated ID Type / Status
Subject Principles and Parameters Theory E64556 entity
Predicate principlesCharacterization P662 FINISHED
Object principles are universal constraints on grammar LITERAL 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: principles are universal constraints on grammar | Statement: [Principles and Parameters Theory, principlesCharacterization, principles are universal constraints on grammar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: principlesCharacterization
Context triple: [Principles and Parameters Theory, principlesCharacterization, principles are universal constraints on grammar]
  • A. typeOfPrinciples
    Indicates a relationship where one entity specifies the kind or category of principles that another entity embodies, uses, or is governed by.
  • B. recognizesPrinciple
    Indicates that an entity acknowledges the validity, authority, or applicability of a particular principle.
  • C. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • D. formationPrinciple
    Indicates the underlying rule, pattern, or principle according to which something is formed, structured, or brought into existence.
  • E. principlesCount
    Indicates the number of principles associated with or applicable to a given entity or context.
  • F. None of above.

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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada239a8c88190a746892b56ee7e02 completed March 8, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.