Triple

T17026535
Position Surface form Disambiguated ID Type / Status
Subject Federal Office for Agriculture E413078 entity
Predicate abbreviation P43 FINISHED
Object FOAG
FOAG is the Swiss Federal Office for Agriculture, the national authority responsible for agricultural policy, food production, and rural development in Switzerland.
 E1246463 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: FOAG | Statement: [Federal Office for Agriculture, abbreviation, FOAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FOAG
Context triple: [Federal Office for Agriculture, abbreviation, FOAG]
  • A. FOGE
    FOGE is the abbreviated name of Switzerland’s Federal Office for Gender Equality, the national authority responsible for promoting equal rights and opportunities for all genders.
  • B. FAGC
    FAGC is the ICAO airport code assigned to Grand Central Airport in South Africa.
  • C. FOGRMA
    FOGRMA is a U.S. federal law enacted in 1982 that governs the management, collection, and auditing of royalties from oil and gas production on federal and Indian lands.
  • D. FOCAS
    FOCAS is an optical camera and spectrograph instrument used on the Subaru Telescope for detailed imaging and spectroscopic observations of astronomical objects.
  • E. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • 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: FOAG
Triple: [Federal Office for Agriculture, abbreviation, FOAG]
Generated description
FOAG is the Swiss Federal Office for Agriculture, the national authority responsible for agricultural policy, food production, and rural development in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FOAG
Target entity description: FOAG is the Swiss Federal Office for Agriculture, the national authority responsible for agricultural policy, food production, and rural development in Switzerland.
  • A. FOGE
    FOGE is the abbreviated name of Switzerland’s Federal Office for Gender Equality, the national authority responsible for promoting equal rights and opportunities for all genders.
  • B. FAGC
    FAGC is the ICAO airport code assigned to Grand Central Airport in South Africa.
  • C. FOGRMA
    FOGRMA is a U.S. federal law enacted in 1982 that governs the management, collection, and auditing of royalties from oil and gas production on federal and Indian lands.
  • D. FOCAS
    FOCAS is an optical camera and spectrograph instrument used on the Subaru Telescope for detailed imaging and spectroscopic observations of astronomical objects.
  • E. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d5ed388190871aa738cac04b65 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011cfb74b88190bbd5af862727790f completed May 11, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a011dad838c8190a1ea560680c9ca57 completed May 11, 2026, 12:07 a.m.
Created at: April 10, 2026, 5:33 a.m.