Triple

T1021724
Position Surface form Disambiguated ID Type / Status
Subject Food and Nutrition Service E22053 entity
Predicate abbreviation P43 FINISHED
Object FNS
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
 E121740 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: FNS | Statement: [Food and Nutrition Service, abbreviation, FNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FNS
Context triple: [Food and Nutrition Service, abbreviation, FNS]
  • A. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • B. FSG
    FSG is a global sports investment company best known for owning major franchises such as the Boston Red Sox and Liverpool FC.
  • C. FSA
    FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
  • D. AFN
    AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
  • E. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • 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: FNS
Triple: [Food and Nutrition Service, abbreviation, FNS]
Generated description
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FNS
Target entity description: FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
  • A. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • B. FSG
    FSG is a global sports investment company best known for owning major franchises such as the Boston Red Sox and Liverpool FC.
  • C. FSA
    FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
  • D. AFN
    AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
  • E. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dead9c8190a0f8d4ef48e6c809 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb63f14819098f5e32af3b98508 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3de4fbb88190855cf92af51fe70b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.