Triple

T6435282
Position Surface form Disambiguated ID Type / Status
Subject Smartsheet E129878 entity
Predicate hasModule P12988 FINISHED
Object Smartsheet Dynamic View E129878 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: Smartsheet Dynamic View | Statement: [Smartsheet, hasModule, Smartsheet Dynamic View]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smartsheet Dynamic View
Context triple: [Smartsheet, hasModule, Smartsheet Dynamic View]
  • A. Smartsheet chosen
    Smartsheet is a cloud-based work management and collaboration software company known for its spreadsheet-like interface that helps organizations plan, track, and automate projects.
  • B. Zoho Sheet
    Zoho Sheet is a cloud-based spreadsheet application by Zoho that supports collaborative editing, data analysis, and integration with other Zoho productivity tools.
  • C. Power View
    Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
  • D. Airtable
    Airtable is a cloud-based platform that combines the simplicity of a spreadsheet with the power of a relational database to help users organize and collaborate on data.
  • E. Quick BI
    Quick BI is Alibaba Cloud’s business intelligence and data analytics platform that enables users to visualize, analyze, and share insights from their data.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640efd490819084b3b67b3b0680b6 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.