Triple

T7934089
Position Surface form Disambiguated ID Type / Status
Subject Google APIs E184247 entity
Predicate includes P1393 FINISHED
Object Google BigQuery API E17670 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: Google BigQuery API | Statement: [Google APIs, includes, Google BigQuery API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google BigQuery API
Context triple: [Google APIs, includes, Google BigQuery API]
  • A. Google BigQuery chosen
    Google BigQuery is a fully managed, serverless cloud data warehouse from Google Cloud designed for fast SQL-based analytics on large-scale datasets.
  • B. Bigtable
    Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
  • C. Data Studio
    Data Studio is Google's free data visualization and business intelligence tool that lets users create interactive, shareable reports and dashboards from multiple data sources.
  • D. Google Analytics APIs
    Google Analytics APIs are a set of programmatic interfaces that let developers collect, query, and manage Google Analytics data and configuration from their own applications and services.
  • E. Google Sheets API
    The Google Sheets API is a web service that lets developers programmatically read, write, and manage Google Sheets data and structure from external 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_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_69ccbde69b608190a49d93c04c46787d completed April 1, 2026, 6:40 a.m.
Created at: March 30, 2026, 5:08 p.m.