Triple

T15980990
Position Surface form Disambiguated ID Type / Status
Subject UDC Master Reference File E387569 entity
Predicate contains P35 FINISHED
Object UDC syntactic relations
UDC syntactic relations are the standardized rules and symbols used in the Universal Decimal Classification system to express complex subject relationships and combinations between classification numbers.
E1188614 NE FINISHED

How this triple was built (4 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: UDC syntactic relations | Statement: [UDC Master Reference File, contains, UDC syntactic relations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UDC syntactic relations
Context triple: [UDC Master Reference File, contains, UDC syntactic relations]
  • A. Types of A-bar Dependencies
    Types of A-bar Dependencies is a seminal linguistics monograph by Guglielmo Cinque that analyzes the structure and behavior of A-bar movement and related syntactic dependencies across languages.
  • B. Lexical-Functional Grammar
    Lexical-Functional Grammar is a non-transformational theory of syntax that models sentence structure through parallel levels of representation, emphasizing the relationship between grammatical functions and lexical information.
  • C. “Semantic Relationism”
    “Semantic Relationism” is a philosophical work by Kit Fine that develops a relational approach to semantic content, especially concerning names, variables, and coreference.
  • D. Syntactic Anchors
    Syntactic Anchors is a linguistics monograph by Juan Uriagereka that develops a theory of syntactic structure within the generative grammar framework, focusing on how hierarchical phrase structures are anchored in grammatical systems.
  • E. The Syntax of Adjectives
    The Syntax of Adjectives is a seminal linguistic monograph by Guglielmo Cinque that analyzes the structure, ordering, and interpretation of adjectives within the noun phrase from a generative grammar perspective.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UDC syntactic relations
Triple: [UDC Master Reference File, contains, UDC syntactic relations]
Generated description
UDC syntactic relations are the standardized rules and symbols used in the Universal Decimal Classification system to express complex subject relationships and combinations between classification numbers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UDC syntactic relations
Target entity description: UDC syntactic relations are the standardized rules and symbols used in the Universal Decimal Classification system to express complex subject relationships and combinations between classification numbers.
  • A. Types of A-bar Dependencies
    Types of A-bar Dependencies is a seminal linguistics monograph by Guglielmo Cinque that analyzes the structure and behavior of A-bar movement and related syntactic dependencies across languages.
  • B. Lexical-Functional Grammar
    Lexical-Functional Grammar is a non-transformational theory of syntax that models sentence structure through parallel levels of representation, emphasizing the relationship between grammatical functions and lexical information.
  • C. “Semantic Relationism”
    “Semantic Relationism” is a philosophical work by Kit Fine that develops a relational approach to semantic content, especially concerning names, variables, and coreference.
  • D. Syntactic Anchors
    Syntactic Anchors is a linguistics monograph by Juan Uriagereka that develops a theory of syntactic structure within the generative grammar framework, focusing on how hierarchical phrase structures are anchored in grammatical systems.
  • E. The Syntax of Adjectives
    The Syntax of Adjectives is a seminal linguistic monograph by Guglielmo Cinque that analyzes the structure, ordering, and interpretation of adjectives within the noun phrase from a generative grammar perspective.
  • F. None of above. chosen

Provenance (5 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15754e8648190a93b73184db089a7 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5f664148190a1f400c28d31cafe completed May 9, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffc6f9b4f4819092600165241377f6 completed May 9, 2026, 11:44 p.m.
Created at: April 10, 2026, 4:54 a.m.