Triple

T30413599
Position Surface form Disambiguated ID Type / Status
Subject University of New Mexico College of Nursing E773689 entity
Predicate hasAccreditation P117 FINISHED
Object New Mexico Board of Nursing
The New Mexico Board of Nursing is the state regulatory agency responsible for licensing nurses and overseeing nursing practice and education standards in New Mexico.
E1912205 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: New Mexico Board of Nursing | Statement: [University of New Mexico College of Nursing, hasAccreditation, New Mexico Board of Nursing]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: New Mexico Board of Nursing
Triple: [University of New Mexico College of Nursing, hasAccreditation, New Mexico Board of Nursing]
Generated description
The New Mexico Board of Nursing is the state regulatory agency responsible for licensing nurses and overseeing nursing practice and education standards in New Mexico.

Provenance (5 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_69f22490b8b48190ab10c886a8d58c89 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686478d64819084a68bcd9c02bd8a completed May 2, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27895fdda08190821d66cfceccb6f6 completed June 9, 2026, 3:32 a.m.
NEDg Description generation batch_6a278adb0a148190bdabcb03619f0c54 completed June 9, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_6a278bb7c0908190999f35c9918d8d6c completed June 9, 2026, 3:42 a.m.
Created at: April 29, 2026, 8:05 p.m.