Triple

T18897540
Position Surface form Disambiguated ID Type / Status
Subject S3 Standard-IA E462247 entity
Predicate supports P516 FINISHED
Object S3 Object Tags 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: S3 Object Tags | Statement: [S3 Standard-IA, supports, S3 Object Tags]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S3 Object Tags
Context triple: [S3 Standard-IA, supports, S3 Object Tags]
  • A. S3 object tagging chosen
    S3 object tagging is an Amazon S3 feature that lets you assign key-value metadata labels to objects for fine-grained management, cost allocation, and lifecycle or access control policies.
  • B. GetObjectTagging
    GetObjectTagging is an Amazon S3 API operation that retrieves the set of tags associated with a specific S3 object.
  • C. S3 Inventory
    S3 Inventory is an Amazon S3 feature that provides scheduled, CSV- or ORC-formatted reports listing objects and their metadata to help manage, audit, and optimize storage at scale.
  • D. S3 Object Lambda
    S3 Object Lambda is an Amazon S3 feature that lets you process and transform data as it is retrieved from S3, so applications can get customized versions of objects without changing existing workflows.
  • E. 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.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52689308190b2e5ca163b1f6cd1 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.