Triple
T15132155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firebase |
E361445
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Firebase Cloud Functions |
E184230
|
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: Firebase Cloud Functions | Statement: [Firebase, hasComponent, Firebase Cloud Functions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firebase Cloud Functions Context triple: [Firebase, hasComponent, Firebase Cloud Functions]
-
A.
Cloud Functions for Firebase
chosen
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.
-
B.
Cloud Functions
Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
-
C.
Firebase
Firebase is a Google-backed platform offering backend services, analytics, and tools for building and scaling web and mobile applications.
-
D.
Azure Functions
Azure Functions is a serverless compute service that lets developers run event-driven code on demand in the cloud without managing infrastructure.
-
E.
Cloud Code
Cloud Code is a set of IDE extensions from Google that streamlines developing, debugging, and deploying cloud-native applications on Google Cloud services like Cloud Run and Kubernetes.
- 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.