Triple

T18800794
Position Surface form Disambiguated ID Type / Status
Subject AWS CDK E459748 entity
Predicate supportsService P203 FINISHED
Object Amazon S3 Glacier NE NERFINISHED

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 S3 Glacier | Statement: [AWS CDK, supportsService, Amazon S3 Glacier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon S3 Glacier
Context triple: [AWS CDK, supportsService, Amazon S3 Glacier]
  • A. Amazon S3 Glacier chosen
    Amazon S3 Glacier is a low-cost, highly durable cloud storage service from AWS designed for long-term data archiving and infrequent access.
  • B. S3 Glacier Deep Archive
    S3 Glacier Deep Archive is an Amazon S3 storage class designed for extremely low-cost, long-term data archiving and digital preservation with very infrequent access.
  • C. Amazon S3
    Amazon S3 is a scalable, highly durable cloud object storage service from Amazon Web Services used for storing and retrieving large amounts of data over the internet.
  • D. S3 Glacier Flexible Retrieval
    S3 Glacier Flexible Retrieval is an Amazon S3 storage class designed for low-cost, long-term data archiving with retrieval options that balance speed and price.
  • E. S3 Glacier Instant Retrieval
    S3 Glacier Instant Retrieval is an Amazon S3 storage class designed for long-lived, rarely accessed data that still requires millisecond retrieval times at low cost.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02332d88190b68feea7f2f86d06 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.