Triple

T9981619
Position Surface form Disambiguated ID Type / Status
Subject Szeged Youth Days E196463 entity
Predicate hasAudienceCharacteristic P793 FINISHED
Object primarily young adults 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: primarily young adults | Statement: [Szeged Youth Days, hasAudienceCharacteristic, primarily young adults]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAudienceCharacteristic
Context triple: [Szeged Youth Days, hasAudienceCharacteristic, primarily young adults]
  • A. hasAudience chosen
    Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
  • B. hasAudienceSize
    Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
  • C. hasAudiencePolicy
    Indicates that there is a specified rule or policy governing which audience or group is allowed to access, view, or receive something.
  • D. hasRoleCharacteristic
    Indicates that an entity possesses a specific characteristic, quality, or attribute associated with a particular role.
  • E. membershipCharacteristic
    Indicates that an entity possesses a specific attribute or quality by virtue of its membership in a particular group or category.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bb3dc481909c65c37303e44037 completed April 2, 2026, 12:30 a.m.
PD Predicate disambiguation batch_69cd1d9daa808190b413a1b9a1e929e2 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:49 p.m.