Triple

T6894363
Position Surface form Disambiguated ID Type / Status
Subject GarudaMiles E159132 entity
Predicate programScope P42904 FINISHED
Object international LITERAL 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: international | Statement: [GarudaMiles, programScope, international]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: programScope
Context triple: [GarudaMiles, programScope, international]
  • A. encodingScope
    Indicates the range or extent of content or information that is covered, represented, or captured by a particular encoding.
  • B. protocolScope
    Indicates that one entity defines or constrains the contextual scope within which a particular protocol, procedure, or set of interaction rules applies to another entity.
  • C. programContext chosen
    Indicates the situational or environmental conditions (such as scope, settings, or surrounding code) within which a program or computational process is defined or executed.
  • D. commandScope
    Indicates that one entity defines or limits the range, context, or extent within which another entity’s command or control is valid or applicable.
  • E. program
    Indicates that an entity creates, writes, or develops a computer program or software application.
  • F. None of above.

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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d931da24819096b9b205f2c0ebb0 completed March 27, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69c6d7b7681481909ec50509b19fcf81 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:24 p.m.