Triple

T8060577
Position Surface form Disambiguated ID Type / Status
Subject M language E188108 entity
Predicate usedIn P98 FINISHED
Object Excel Power Query E36075 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: Excel Power Query | Statement: [M language, usedIn, Excel Power Query]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Excel Power Query
Context triple: [M language, usedIn, Excel Power Query]
  • A. Power Query chosen
    Power Query is a data connection and transformation tool used to import, clean, and reshape data from various sources before analysis in Microsoft Power BI and other Microsoft products.
  • B. Power Pivot
    Power Pivot is an Excel data modeling and analysis add-in that enables users to create sophisticated data models, relationships, and DAX calculations for business intelligence reporting.
  • C. DirectQuery
    DirectQuery is a data access mode in Microsoft analytics services that allows real-time querying of underlying data sources without importing the data into the model.
  • D. Power BI
    Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
  • E. Power Fx
    Power Fx is a low-code, Excel-like formula language developed by Microsoft for building logic and expressions in Power Platform applications.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcc61c0819085edc26e75c5f6d5 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe5c1850819097f82cfa7f582e8d completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:26 p.m.