Triple
T12322604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Key Management Service |
E293760
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Amazon OpenSearch Service |
E426143
|
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: Amazon OpenSearch Service | Statement: [AWS Key Management Service, integratesWith, Amazon OpenSearch Service]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon OpenSearch Service Context triple: [AWS Key Management Service, integratesWith, Amazon OpenSearch Service]
-
A.
Amazon OpenSearch Service
chosen
Amazon OpenSearch Service is a fully managed service from AWS for deploying, operating, and scaling OpenSearch and Elasticsearch-compatible search and analytics clusters in the cloud.
-
B.
Azure Cognitive Search
Azure Cognitive Search is a fully managed cloud search service from Microsoft that provides AI-powered indexing and querying capabilities over structured and unstructured data.
-
C.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine built on Apache Lucene, widely used for full-text search, log analytics, and real-time data exploration.
-
D.
Amazon DocumentDB
Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
-
E.
Amazon Athena
Amazon Athena is a serverless, interactive query service from AWS that lets users analyze data directly in Amazon S3 using standard SQL.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4d7dac81909ff10e64e229ef33 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.