Triple

T25368991
Position Surface form Disambiguated ID Type / Status
Subject SA-15 Gauntlet E632881 entity
Predicate hasGRAUIndex P84594 FINISHED
Object 9K330 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: 9K330 | Statement: [SA-15 Gauntlet, hasGRAUIndex, 9K330]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGRAUIndex
Context triple: [SA-15 Gauntlet, hasGRAUIndex, 9K330]
  • A. GRAUIndexFor chosen
    Indicates that something serves as a GRAU index corresponding to or associated with a particular entity or item.
  • B. hasGraduateInstitute
    Indicates that an entity is associated with or offers a specific graduate-level educational institution or program.
  • C. isGradeOf
    Indicates that one entity is the grade or evaluation assigned to another entity, such as a student, assignment, or performance.
  • D. hasDegree
    Indicates that an entity possesses or has been awarded a specific academic or professional degree.
  • E. hasGradeStatus
    Indicates that an entity holds a particular grade-related status or standing within an evaluation or grading system.
  • 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_69e75a90c0dc819092f928b6ea0ecc72 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 21, 2026, 1:38 p.m.