Triple

T16931216
Position Surface form Disambiguated ID Type / Status
Subject NCLEX-PN E410710 entity
Predicate relatedExam P37 FINISHED
Object NCLEX-RN E408023 NE 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: NCLEX-RN | Statement: [NCLEX-PN, relatedExam, NCLEX-RN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NCLEX-RN
Context triple: [NCLEX-PN, relatedExam, NCLEX-RN]
  • A. NCLEX-RN chosen
    The NCLEX-RN is a standardized national licensure examination that assesses whether a candidate is prepared for entry-level registered nurse practice in the United States and Canada.
  • B. NCLEX-PN
    NCLEX-PN is a standardized national licensure examination in the United States that assesses whether aspiring practical or vocational nurses have the knowledge and skills necessary for safe and effective entry-level nursing practice.
  • C. RN
    RN is a Chilean center-right political party known as National Renewal.
  • D. RN
    RN is the stock ticker symbol under which the former American conglomerate RJR Nabisco was traded on public financial markets.
  • E. RN
    RN is the vehicle registration code used on license plates for vehicles registered in the Province of Rimini in Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf25a6dc8190a2b9d9c4d2adc5fd completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.