Triple

T1612747
Position Surface form Disambiguated ID Type / Status
Subject LINQ E34648 entity
Predicate fullName P16 FINISHED
Object Language Integrated Query E34648 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: Language Integrated Query | Statement: [LINQ, fullName, Language Integrated Query]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Language Integrated Query
Context triple: [LINQ, fullName, Language Integrated Query]
  • A. LINQ chosen
    LINQ (Language Integrated Query) is a .NET feature that provides a unified, SQL-like syntax for querying and manipulating data from various sources directly within programming languages such as C#.
  • B. BI Engine
    BI Engine is an in-memory analysis service for Google BigQuery that accelerates and optimizes interactive business intelligence and dashboard queries.
  • C. Wolfram
    Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
  • D. Looker
    Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
  • E. Search and Discovery
    Search and Discovery is a regular Physics Today section that highlights notable recent advances and findings across the physical sciences.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098e245c8190b0169b648434aa49 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c751308190a89f6462ee365418 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.