Triple

T2716439
Position Surface form Disambiguated ID Type / Status
Subject LLVM E59978 entity
Predicate hasComponent P35 FINISHED
Object LLD linker
LLD linker is LLVM’s high-performance, modern linker designed as a faster, drop-in replacement for traditional system linkers across multiple platforms.
E292709 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: LLD linker | Statement: [LLVM, hasComponent, LLD linker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLD linker
Context triple: [LLVM, hasComponent, LLD linker]
  • A. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • B. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • C. Link 2 Line
    Link 2 Line is a light rail service in the Seattle metropolitan area that connects key neighborhoods and suburbs as part of the Sound Transit Link system.
  • D. LDP
    LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
  • E. Lundin Links
    Lundin Links is a small village in Fife, Scotland, known for its historic golf course and standing stones.
  • 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: LLD linker
Triple: [LLVM, hasComponent, LLD linker]
Generated description
LLD linker is LLVM’s high-performance, modern linker designed as a faster, drop-in replacement for traditional system linkers across multiple platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LLD linker
Target entity description: LLD linker is LLVM’s high-performance, modern linker designed as a faster, drop-in replacement for traditional system linkers across multiple platforms.
  • A. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • B. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • C. Link 2 Line
    Link 2 Line is a light rail service in the Seattle metropolitan area that connects key neighborhoods and suburbs as part of the Sound Transit Link system.
  • D. LDP
    LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
  • E. Lundin Links
    Lundin Links is a small village in Fife, Scotland, known for its historic golf course and standing stones.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda964d4881908179b2a1b16411e4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68c3ccc81909995d17651af27ed completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb77f60c08190928bd6a79fc82e8b completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb8205840819084ede24192bb0aa3 completed March 10, 2026, 6:20 a.m.
Created at: March 6, 2026, 9:55 p.m.