Triple

T12282300
Position Surface form Disambiguated ID Type / Status
Subject Zapier E292742 entity
Predicate connectsWith P37 FINISHED
Object Airtable E184244 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: Airtable | Statement: [Zapier, connectsWith, Airtable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airtable
Context triple: [Zapier, connectsWith, Airtable]
  • A. Airtable chosen
    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.
  • 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. Notion
    Notion is a popular productivity and collaboration platform that combines note-taking, databases, task management, and wikis into a single customizable workspace.
  • D. Notion
    "Notion" is a song by American rock band Kings of Leon from their 2008 album *Only by the Night*.
  • E. AppSheet
    AppSheet is a no-code application development platform that lets users build custom business apps from data sources like spreadsheets and databases, integrated within the Google ecosystem.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf2b09c81908a11581d33f65be0 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e70dec8819098199fbb54d888c1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.