Triple

T22649626
Position Surface form Disambiguated ID Type / Status
Subject Expo Application Services E559058 entity
Predicate integratesWith P1075 FINISHED
Object Expo CLI NE NERFINISHED

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: Expo CLI | Statement: [Expo Application Services, integratesWith, Expo CLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo CLI
Context triple: [Expo Application Services, integratesWith, Expo CLI]
  • A. Expo CLI chosen
    Expo CLI is a command-line tool used to create, develop, build, and manage React Native apps within the Expo ecosystem.
  • B. Expo framework
    Expo framework is an open-source toolchain and platform for building, deploying, and iterating on React Native applications with minimal native configuration.
  • C. Expo toolchain
    Expo toolchain is a set of tools and services that streamline building, deploying, and managing React Native applications across multiple platforms.
  • D. Expo Application Services
    Expo Application Services is a suite of cloud-based tools and infrastructure that streamlines building, deploying, and managing React Native apps created with the Expo platform.
  • E. Expo Go
    Expo Go is a mobile app that lets developers instantly run and preview React Native projects on their devices without building native binaries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703b40b88190aec5cf2fa28bfcbf completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.