Triple

T22376218
Position Surface form Disambiguated ID Type / Status
Subject Commended Students E553156 entity
Predicate isLessSelectiveThan P147421 FINISHED
Object National Merit Semifinalist designation 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: National Merit Semifinalist designation | Statement: [Commended Students, isLessSelectiveThan, National Merit Semifinalist designation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLessSelectiveThan
Context triple: [Commended Students, isLessSelectiveThan, National Merit Semifinalist designation]
  • A. isNonSelective
    Indicates that the relationship or action does not distinguish or discriminate among possible targets, options, or conditions, applying broadly rather than selectively.
  • B. hasApproximateSelectivityLevel
    Indicates that one entity is associated with another entity representing an estimated or non-exact degree of selectivity.
  • C. isSelective
    Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
  • D. isMoreSpecificThan
    Indicates that one concept represents a narrower, more detailed, or more constrained case of another concept.
  • E. isLessEfficientThan
    Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158285d208190bc7d05d315267995 completed April 29, 2026, 1 a.m.
PD Predicate disambiguation batch_69e73011e6388190a05edf137f488441 completed April 21, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e7342e9a0081909257210a81c96b29 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 8:45 p.m.