Triple
T15132147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firebase |
E361445
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Cloud Firestore |
E427703
|
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: Cloud Firestore | Statement: [Firebase, hasComponent, Cloud Firestore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Firestore Context triple: [Firebase, hasComponent, Cloud Firestore]
-
A.
Firestore
chosen
Firestore is a scalable, fully managed NoSQL document database service from Google Cloud designed for real-time data synchronization and serverless application development.
-
B.
Firebase
Firebase is a Google-backed platform offering backend services, analytics, and tools for building and scaling web and mobile applications.
-
C.
Cloud Datastore
Cloud Datastore is a highly scalable, fully managed NoSQL document database service provided by Google Cloud for building and running 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.
MongoDB Cloud
MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.