Triple

T21641021
Position Surface form Disambiguated ID Type / Status
Subject Italian cuisine E534088 entity
Predicate hasCourseStructure P11849 FINISHED
Object antipasto 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: antipasto | Statement: [Italian cuisine, hasCourseStructure, antipasto]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourseStructure
Context triple: [Italian cuisine, hasCourseStructure, antipasto]
  • A. hasStructureOnCourse
    Indicates that a physical structure is located on, along, or directly associated with a specific course or route.
  • B. hasCurricularStructure
    Indicates that an educational program or course is organized according to a defined curricular framework or structure.
  • C. courseStructure chosen
    Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
  • D. hasCoursePattern
    Indicates that an entity follows, is associated with, or is defined by a particular course structure or pattern.
  • E. hasAtGradeStructure
    Indicates that one entity includes or is associated with a structure located at ground level (at grade).
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53917f3c81909e7f4074beecefd3 completed April 27, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69e69677b9c48190bf81f795aa8ad74e completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:35 p.m.