Triple
T1634156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Cloud |
E35325
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Bigtable
Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
|
E184216
|
NE FINISHED |
How this triple was built (4 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: Bigtable | Statement: [Google Cloud, hasComponent, Bigtable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bigtable Context triple: [Google Cloud, hasComponent, Bigtable]
-
A.
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.
-
B.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
-
C.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
D.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
E.
Google Cloud
Google Cloud is Alphabet Inc.'s cloud computing platform offering infrastructure, platform, and software services for building, deploying, and scaling applications and data solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bigtable Triple: [Google Cloud, hasComponent, Bigtable]
Generated description
Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bigtable Target entity description: Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
-
A.
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.
-
B.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
-
C.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
D.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
E.
Google Cloud
Google Cloud is Alphabet Inc.'s cloud computing platform offering infrastructure, platform, and software services for building, deploying, and scaling applications and data solutions.
- F. None of above. chosen
Provenance (5 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f86abc8190b0b81310dcd7feed |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d9db5c819081408977834ad606 |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad5a625d088190bbacbb69a0569d49 |
completed | March 8, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5ae605f88190b5e42d7cf923e9bb |
completed | March 8, 2026, 11:17 a.m. |
Created at: March 4, 2026, 7:28 p.m.