Triple

T21681070
Position Surface form Disambiguated ID Type / Status
Subject National Organic Program E535107 entity
Predicate abbreviation P43 FINISHED
Object NOP
NOP is the National Organic Program, the U.S. Department of Agriculture initiative that develops and enforces national standards for organically produced agricultural products.
E1496681 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: NOP | Statement: [National Organic Program, abbreviation, NOP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOP
Context triple: [National Organic Program, abbreviation, NOP]
  • A. NOP
    NOP is the standard NBA abbreviation for the New Orleans Pelicans basketball team.
  • B. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • C. NAN
    NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
  • D. NAN
    NAN is the National Rail station code assigned to Nantwich railway station in Cheshire, England.
  • E. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • 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: NOP
Triple: [National Organic Program, abbreviation, NOP]
Generated description
NOP is the National Organic Program, the U.S. Department of Agriculture initiative that develops and enforces national standards for organically produced agricultural products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NOP
Target entity description: NOP is the National Organic Program, the U.S. Department of Agriculture initiative that develops and enforces national standards for organically produced agricultural products.
  • A. NOP
    NOP is the standard NBA abbreviation for the New Orleans Pelicans basketball team.
  • B. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • C. NAN
    NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
  • D. NAN
    NAN is the National Rail station code assigned to Nantwich railway station in Cheshire, England.
  • E. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a12adf08190b9b450eb26a1f33c completed April 27, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e1c9ad48190b2216c0c168343ae completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1eac9b648190881c97d474762fc0 completed May 17, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1f3b77488190bfb73b9e83446bb3 completed May 17, 2026, 8:04 p.m.
Created at: April 16, 2026, 6:43 p.m.