Triple

T12322462
Position Surface form Disambiguated ID Type / Status
Subject AWS CloudTrail E293758 entity
Predicate logFormat P130 FINISHED
Object JSON E39004 NE FINISHED

How this triple was built (3 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: JSON | Statement: [AWS CloudTrail, logFormat, JSON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON
Context triple: [AWS CloudTrail, logFormat, JSON]
  • A. JSON chosen
    JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
  • B. JSON5
    JSON5 is an extension of the JSON data format that adds more human-friendly features like comments, trailing commas, and unquoted object keys while remaining largely compatible with standard JSON.
  • C. JSON API
    JSON API is a standardized specification for building JSON-based RESTful APIs that defines how clients should request and modify resources in a consistent, structured format.
  • D. Jakarta JSON Processing
    Jakarta JSON Processing is a Jakarta EE specification that defines a standard API for parsing, generating, transforming, and querying JSON data in Java applications.
  • E. JSONiq
    JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: logFormat
Context triple: [AWS CloudTrail, logFormat, JSON]
  • A. loggingTool
    Indicates that an entity serves as or uses a tool specifically intended for logging events, data, or activities.
  • B. loggingLocation
    Indicates the place or destination where logs or logging information are recorded or stored.
  • C. dateFormat
    Indicates the specific pattern or structure used to represent a date as a formatted string.
  • D. format chosen
    Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
  • E. configFileFormat
    Indicates the file format or syntax standard used by a configuration file.
  • F. None of above.

Provenance (4 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_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9f708081908c052333c3b7df4c completed May 2, 2026, 4:47 p.m.
PD Predicate disambiguation batch_69d93ec5be788190b82d2edc6a0f1095 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.