Triple

T17561485
Position Surface form Disambiguated ID Type / Status
Subject Firestore E427703 entity
Predicate integratesWith P1075 FINISHED
Object Firebase 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: Firebase | Statement: [Firestore, integratesWith, Firebase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Firebase
Context triple: [Firestore, integratesWith, Firebase]
  • A. Firebase chosen
    Firebase is a Google-backed platform offering backend services, analytics, and tools for building and scaling web and mobile applications.
  • B. Firestore
    Firestore is a scalable, fully managed NoSQL document database service from Google Cloud designed for real-time data synchronization and serverless application development.
  • C. Firebase Realtime Database
    Firebase Realtime Database is a cloud-hosted NoSQL database that stores and syncs data in real time across connected clients for building responsive web and mobile applications.
  • D. Cloud Functions for Firebase
    Cloud Functions for Firebase is a serverless compute platform that lets developers run backend code in response to Firebase and HTTP events without managing servers.
  • E. CloudKit
    CloudKit is Apple’s cloud storage and data synchronization framework that enables developers to seamlessly store, manage, and sync app data across users’ iCloud accounts and devices.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456274c888190ac80402e391674dd completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.