Triple

T11514507
Position Surface form Disambiguated ID Type / Status
Subject National Occupational Research Agenda E272996 entity
Predicate abbreviation P43 FINISHED
Object NORA
NORA is a U.S. national research framework developed by NIOSH to guide and prioritize occupational safety and health research across key industry sectors.
 E930624 NE FINISHED

How this triple was built (4 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: NORA | Statement: [National Occupational Research Agenda, abbreviation, NORA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NORA
Context triple: [National Occupational Research Agenda, abbreviation, NORA]
  • A. Nora
    Nora is a feminine given name of Latin origin, often used independently or as a diminutive of names like Honora, Eleanor, or Leonora.
  • B. Nora En Pure
    Nora En Pure is a South African-Swiss DJ and deep house producer known for her melodic, nature-inspired electronic music and global festival performances.
  • C. Norma
    Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
  • D. Norma
    Norma is a small Italian town in the Lazio region, known for its hilltop setting and proximity to the ancient archaeological site of Norba.
  • E. Norma
    Norma is a small, faint constellation in the southern sky, located between Scorpius and Ara.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: NORA
Triple: [National Occupational Research Agenda, abbreviation, NORA]
Generated description
NORA is a U.S. national research framework developed by NIOSH to guide and prioritize occupational safety and health research across key industry sectors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NORA
Target entity description: NORA is a U.S. national research framework developed by NIOSH to guide and prioritize occupational safety and health research across key industry sectors.
  • A. Nora
    Nora is a feminine given name of Latin origin, often used independently or as a diminutive of names like Honora, Eleanor, or Leonora.
  • B. Nora En Pure
    Nora En Pure is a South African-Swiss DJ and deep house producer known for her melodic, nature-inspired electronic music and global festival performances.
  • C. Norma
    Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
  • D. Norma
    Norma is a small Italian town in the Lazio region, known for its hilltop setting and proximity to the ancient archaeological site of Norba.
  • E. Norma
    Norma is a small, faint constellation in the southern sky, located between Scorpius and Ara.
  • F. None of above. chosen

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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db8bf9c8190820c289e6b0c3873 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625143a608190a1119b30c08df0fd completed April 20, 2026, 1:07 p.m.
NEDg Description generation batch_69e62cf44018819094818f11ac653763 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e674c3a98c8190b32dc6879cb3a5f9 completed April 20, 2026, 6:47 p.m.
Created at: April 8, 2026, 9:36 p.m.