Triple

T23168589
Position Surface form Disambiguated ID Type / Status
Subject Jiggs dinner E578779 entity
Predicate courseSequence P151191 FINISHED
Object main course followed by dessert 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: main course followed by dessert | Statement: [Jiggs dinner, courseSequence, main course followed by dessert]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: courseSequence
Context triple: [Jiggs dinner, courseSequence, main course followed by dessert]
  • A. courseStructure
    Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
  • B. coursePar
    Indicates that two entities (such as paths, lines, or trajectories) run alongside each other in the same general direction without intersecting.
  • C. educationalPathway
    Indicates the sequence or structure of educational steps, programs, or qualifications that connect one stage of learning or training to another.
  • D. course
    Indicates that an entity is an academic class or unit of instruction offered within an educational program.
  • E. courseLoad
    Indicates the quantity or intensity of academic work (such as number of courses or credits) assigned to or undertaken by an individual or program.
  • F. None of above. chosen

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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2e5e208190839ec37de4b974af completed April 29, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69ef89ff76808190808ee4ad9dea776b completed April 27, 2026, 4:08 p.m.
PDg Predicate description generation batch_69ef9b75e2708190ba48875e36f983bc completed April 27, 2026, 5:23 p.m.
Created at: April 17, 2026, 4:03 p.m.