Triple

T15587766
Position Surface form Disambiguated ID Type / Status
Subject Federal Office for Gender Equality E374666 entity
Predicate shortName P43 FINISHED
Object 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.
E1165083 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: FOGE | Statement: [Federal Office for Gender Equality, shortName, FOGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FOGE
Context triple: [Federal Office for Gender Equality, shortName, FOGE]
  • A. Fogle
    Fogle is a surname that can refer to various individuals, most notably people in public, professional, or cultural spheres.
  • B. Fogn
    Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
  • C. FOE
    FOE is the IATA airport code for Topeka Regional Airport in Topeka, Kansas, United States.
  • D. Fogagogo
    Fogagogo is a small village located in Tualauta County on the island of Tutuila in American Samoa.
  • E. Foor
    Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • 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: FOGE
Triple: [Federal Office for Gender Equality, shortName, FOGE]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FOGE
Target entity description: 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.
  • A. Fogle
    Fogle is a surname that can refer to various individuals, most notably people in public, professional, or cultural spheres.
  • B. Fogn
    Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
  • C. FOE
    FOE is the IATA airport code for Topeka Regional Airport in Topeka, Kansas, United States.
  • D. Fogagogo
    Fogagogo is a small village located in Tualauta County on the island of Tutuila in American Samoa.
  • E. Foor
    Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • 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.