Triple
T272127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Workspace |
E5654
|
entity |
| Predicate | integration |
P1075
|
FINISHED |
| Object | Google Analytics |
E13789
|
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: Google Analytics | Statement: [Google Workspace, integration, Google Analytics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Analytics Context triple: [Google Workspace, integration, Google Analytics]
-
A.
Google Marketing Platform
chosen
Google Marketing Platform is Google's integrated suite of advertising and analytics tools that helps businesses plan, buy, measure, and optimize digital marketing campaigns across channels.
-
B.
Omniture
Omniture was a leading web analytics and online marketing optimization company best known for its SiteCatalyst platform before being acquired by Adobe.
-
C.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
-
D.
Marketo
Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
-
E.
Google BigQuery
Google BigQuery is a fully managed, serverless cloud data warehouse from Google Cloud designed for fast SQL-based analytics on large-scale datasets.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a260d0dae48190a2ec98d0186fd792 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f537f1c8190a59ac4669498a3fc |
completed | March 1, 2026, 12:58 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.