Triple

T11370723
Position Surface form Disambiguated ID Type / Status
Subject Girl Scout Junior E269332 entity
Predicate supportsAward P11017 FINISHED
Object Junior-level badges 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: Junior-level badges | Statement: [Girl Scout Junior, supportsAward, Junior-level badges]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsAward
Context triple: [Girl Scout Junior, supportsAward, Junior-level badges]
  • A. canAward chosen
    Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
  • B. isAward
    Indicates that one entity functions as an award or prize that is given or conferred to another entity.
  • C. awardTo
    Indicates that an award, prize, or honor is given or assigned to a particular recipient.
  • D. awardFor
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • E. supportAgainst
    Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
PD Predicate disambiguation batch_69d7e7022d508190996f9be0847c2b41 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.