Triple

T15662184
Position Surface form Disambiguated ID Type / Status
Subject Federal Office of Transport E376592 entity
Predicate abbreviation P43 FINISHED
Object FOT
FOT is the abbreviation for Switzerland’s Federal Office of Transport, the national authority responsible for regulating and overseeing the country’s public transport and rail systems.
 E1169750 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: FOT | Statement: [Federal Office of Transport, abbreviation, FOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FOT
Context triple: [Federal Office of Transport, abbreviation, FOT]
  • A. Fót
    Fót is a town in Hungary known as a suburban settlement near Budapest within Pest County.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FOK
    FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
  • D. FANT
    FANT is the acronym for Chad’s national armed forces, responsible for the country’s defense and military operations.
  • 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: FOT
Triple: [Federal Office of Transport, abbreviation, FOT]
Generated description
FOT is the abbreviation for Switzerland’s Federal Office of Transport, the national authority responsible for regulating and overseeing the country’s public transport and rail systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FOT
Target entity description: FOT is the abbreviation for Switzerland’s Federal Office of Transport, the national authority responsible for regulating and overseeing the country’s public transport and rail systems.
  • A. Fót
    Fót is a town in Hungary known as a suburban settlement near Budapest within Pest County.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FOK
    FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
  • D. FANT
    FANT is the acronym for Chad’s national armed forces, responsible for the country’s defense and military operations.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679e0f2c8190bbcb7051c38e1580 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68cfffd881908576c04e3eeb22a8 completed May 9, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:15 a.m.