Triple

T7933907
Position Surface form Disambiguated ID Type / Status
Subject Airtable E184244 entity
Predicate developer P73 FINISHED
Object Airtable, Inc. 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, Inc. | Statement: [Airtable, developer, Airtable, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airtable, Inc.
Context triple: [Airtable, developer, Airtable, Inc.]
  • 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 Corporation
    Zoho Corporation is an Indian software company best known for its wide suite of cloud-based business applications, including CRM, productivity, and collaboration tools for organizations of all sizes.
  • C. Palantir Technologies
    Palantir Technologies is an American software company specializing in big data analytics platforms used by governments and large enterprises for intelligence, security, and operational decision-making.
  • D. Ultimate Software
    Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
  • E. MongoDB Inc.
    MongoDB Inc. is a software company best known for developing the popular open-source NoSQL document database MongoDB, widely used for scalable, modern application development.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aeb132c8190bea4906aaf51b869 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c041e588190bfbf251ed88d5bcd completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.