Triple

T5498875
Position Surface form Disambiguated ID Type / Status
Subject Swiss Federal Roads Office E144276 entity
Predicate usesAbbreviation P43 FINISHED
Object OFROU E531331 NE FINISHED

How this triple was built (2 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, usesAbbreviation, OFROU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OFROU
Context triple: [Swiss Federal Roads Office, usesAbbreviation, OFROU]
  • A. OFROU chosen
    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.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. 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.
  • D. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c04c9c78308190935c3fbbaff08b70 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:32 p.m.