Triple

T8756412
Position Surface form Disambiguated ID Type / Status
Subject GraphQL E208081 entity
Predicate standardizedBy P1371 FINISHED
Object GraphQL Foundation E208081 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: GraphQL Foundation | Statement: [GraphQL, standardizedBy, GraphQL Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GraphQL Foundation
Context triple: [GraphQL, standardizedBy, GraphQL Foundation]
  • A. GraphQL chosen
    GraphQL is a query language and runtime for APIs that enables clients to request exactly the data they need from servers in a flexible, efficient way.
  • B. AWS AppSync
    AWS AppSync is a managed GraphQL service from Amazon Web Services that simplifies building real-time, data-driven applications by securely connecting to and orchestrating multiple data sources.
  • C. Forward the Foundation
    Forward the Foundation is a science fiction novel by Isaac Asimov that chronicles the later life of Hari Seldon and the development of psychohistory within the Foundation universe.
  • D. Next.js
    Next.js is a popular React-based framework for building server-rendered and statically generated web applications with features like routing, API routes, and performance optimizations built in.
  • E. athenaOne
    athenaOne is Athenahealth’s integrated cloud-based platform that provides electronic health records, practice management, and patient engagement tools for healthcare providers.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd95e9481909cc88e8d91601754 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4338c0f88190a1e3f7ef164b6c6d completed April 3, 2026, 4:34 a.m.
Created at: March 30, 2026, 6:40 p.m.