Triple

T15589541
Position Surface form Disambiguated ID Type / Status
Subject Federal Office for National Economic Supply E374706 entity
Predicate abbreviation P43 FINISHED
Object FONES
FONES is the Swiss federal agency responsible for ensuring the country’s economic preparedness and securing vital supplies in times of crisis.
E1165171 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: FONES | Statement: [Federal Office for National Economic Supply, abbreviation, FONES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FONES
Context triple: [Federal Office for National Economic Supply, abbreviation, FONES]
  • A. Fitel
    Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
  • B. Telefon
    "Telefon" is a 1977 Cold War espionage thriller film starring Charles Bronson, directed by Don Siegel, about a Soviet plot involving sleeper agents in the United States.
  • C. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • D. Telefon Bay
    Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
  • E. Handphone
    Handphone is a South Korean thriller film known for its tense narrative involving blackmail and the misuse of mobile phone technology.
  • 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: FONES
Triple: [Federal Office for National Economic Supply, abbreviation, FONES]
Generated description
FONES is the Swiss federal agency responsible for ensuring the country’s economic preparedness and securing vital supplies in times of crisis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FONES
Target entity description: FONES is the Swiss federal agency responsible for ensuring the country’s economic preparedness and securing vital supplies in times of crisis.
  • A. Fitel
    Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
  • B. Telefon
    "Telefon" is a 1977 Cold War espionage thriller film starring Charles Bronson, directed by Don Siegel, about a Soviet plot involving sleeper agents in the United States.
  • C. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • D. Telefon Bay
    Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
  • E. Handphone
    Handphone is a South Korean thriller film known for its tense narrative involving blackmail and the misuse of mobile phone technology.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4a19708190936118d569f3436d completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c53617c8190b4367eee351dc025 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4d5de6ec8190ab82ac78bb70a432 completed May 9, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff4dd868388190a159618c1fdcf15c completed May 9, 2026, 3:08 p.m.
Created at: April 10, 2026, 4:11 a.m.