Triple

T22376210
Position Surface form Disambiguated ID Type / Status
Subject Commended Students E553156 entity
Predicate monetaryAwardTypical P147420 FINISHED
Object none from National Merit Scholarship Corporation 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: none from National Merit Scholarship Corporation | Statement: [Commended Students, monetaryAwardTypical, none from National Merit Scholarship Corporation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monetaryAwardTypical
Context triple: [Commended Students, monetaryAwardTypical, none from National Merit Scholarship Corporation]
  • A. typicalAwardAmount
    Indicates the usual or most common amount of an award given in this relationship.
  • B. monetaryReward
    Indicates that one entity provides or promises a payment of money to another as compensation, incentive, or prize.
  • C. typicalAwardType
    Indicates the usual or most common type or category of award associated with a given entity or context.
  • D. typicalAwardBasis
    Indicates the usual criterion or grounds on which an award is granted or decided.
  • E. typicalAwardedBy
    Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
  • 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.