Triple

T17499044
Position Surface form Disambiguated ID Type / Status
Subject Splunk E426145 entity
Predicate programmingLanguage P1592 FINISHED
Object Search Processing Language NE NERFINISHED

How this triple was built (3 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: Search Processing Language | Statement: [Splunk, programmingLanguage, Search Processing Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Search Processing Language
Context triple: [Splunk, programmingLanguage, Search Processing Language]
  • A. Search and Discovery
    Search and Discovery is a regular Physics Today section that highlights notable recent advances and findings across the physical sciences.
  • B. Information Processing Language
    Information Processing Language (IPL) is an early high-level programming language developed in the 1950s for artificial intelligence research, particularly for implementing symbolic reasoning programs.
  • C. Language and Information
    "Language and Information" is a seminal work by Yehoshua Bar-Hillel that explores the foundations of formal linguistics, logic, and the theory of information in natural language.
  • D. LexLabs
    LexLabs is a research and development subsidiary of LexCorp focused on advancing the corporation’s cutting-edge technologies and innovative projects.
  • E. Semantic Information Processing
    Semantic Information Processing is a landmark 1968 edited volume by Marvin Minsky that helped establish foundational approaches to artificial intelligence, knowledge representation, and natural language understanding.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Search Processing Language
Target entity description: Search Processing Language is Splunk’s specialized query language used to search, analyze, and transform machine-generated data within the Splunk platform.
  • A. Search and Discovery
    Search and Discovery is a regular Physics Today section that highlights notable recent advances and findings across the physical sciences.
  • B. Information Processing Language
    Information Processing Language (IPL) is an early high-level programming language developed in the 1950s for artificial intelligence research, particularly for implementing symbolic reasoning programs.
  • C. Language and Information
    "Language and Information" is a seminal work by Yehoshua Bar-Hillel that explores the foundations of formal linguistics, logic, and the theory of information in natural language.
  • D. LexLabs
    LexLabs is a research and development subsidiary of LexCorp focused on advancing the corporation’s cutting-edge technologies and innovative projects.
  • E. Semantic Information Processing
    Semantic Information Processing is a landmark 1968 edited volume by Marvin Minsky that helped establish foundational approaches to artificial intelligence, knowledge representation, and natural language understanding.
  • F. None of above. chosen

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.