Triple

T13819483
Position Surface form Disambiguated ID Type / Status
Subject Passing ceremony E332099 entity
Predicate advancesFromDegree P17775 FINISHED
Object Entered Apprentice 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: Entered Apprentice | Statement: [Passing ceremony, advancesFromDegree, Entered Apprentice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: advancesFromDegree
Context triple: [Passing ceremony, advancesFromDegree, Entered Apprentice]
  • A. grantedDegreesTo
    Indicates that one entity has officially conferred academic degrees upon another entity.
  • B. typeOfAdvance
    Indicates that one entity represents a specific kind or category of advance (e.g., payment, progress, or development) in relation to another entity.
  • C. advancedThrough chosen
    Indicates that an entity has progressed or moved forward within, or as a result of, a particular medium, stage, process, or pathway.
  • D. degreeOver
    Indicates that one entity’s degree, level, or extent exceeds that of another entity.
  • E. notionOfDegree
    Indicates a relationship where one entity specifies or characterizes the degree, intensity, or extent to which a property or condition applies to another entity.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
PD Predicate disambiguation batch_69dbc862e9608190bd8a3d883959b7e4 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:12 p.m.