Triple

T5232847
Position Surface form Disambiguated ID Type / Status
Subject Chinese imperial examination system E118150 entity
Predicate intermediateDegree P62539 FINISHED
Object juren 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: juren | Statement: [Chinese imperial examination system, intermediateDegree, juren]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intermediateDegree
Context triple: [Chinese imperial examination system, intermediateDegree, juren]
  • A. typicalDegree
    Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
  • B. academicDegree
    Indicates that an entity holds or has been awarded a specific academic degree.
  • C. eligibleDegree
    Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
  • D. introducedIntermediateLevel
    Indicates that an entity has brought in or established something at an intermediate level between basic and advanced stages.
  • E. middleCourseName
    Indicates that the specified name is the title or label of a middle-level course within a sequence or curriculum.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0389048190b55b7c44fe657044 completed March 20, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69bd77bf1ef08190bb3487b3f3ee088c completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd7aff0244819085c4799793ed0185 completed March 20, 2026, 4:51 p.m.
Created at: March 20, 2026, 1:49 p.m.