Triple

T5498837
Position Surface form Disambiguated ID Type / Status
Subject Swiss Federal Roads Office E144276 entity
Predicate shortName P43 FINISHED
Object OFROU
OFROU is the Swiss Federal Roads Office, the national authority responsible for planning, constructing, and maintaining Switzerland’s national road network and related traffic policies.
 E531331 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: OFROU | Statement: [Swiss Federal Roads Office, shortName, OFROU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OFROU
Context triple: [Swiss Federal Roads Office, shortName, OFROU]
  • A. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • B. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • C. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • D. Foor
    Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • E. EFRO
    EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
  • 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: OFROU
Triple: [Swiss Federal Roads Office, shortName, OFROU]
Generated description
OFROU is the Swiss Federal Roads Office, the national authority responsible for planning, constructing, and maintaining Switzerland’s national road network and related traffic policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OFROU
Target entity description: OFROU is the Swiss Federal Roads Office, the national authority responsible for planning, constructing, and maintaining Switzerland’s national road network and related traffic policies.
  • A. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • B. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • C. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • D. Foor
    Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • E. EFRO
    EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b9050d08190b0cfcfdb5d414476 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0279253c88190ae70e2f4f1fb3e7d completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c033db6ebc8190ab35c707b846426d completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c0345cd5b88190855efd8c1bb94693 completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:32 p.m.