Triple

T16808251
Position Surface form Disambiguated ID Type / Status
Subject Federal Roads Office E408533 entity
Predicate abbreviation P43 FINISHED
Object FEDRO E531329 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: FEDRO | Statement: [Federal Roads Office, abbreviation, FEDRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FEDRO
Context triple: [Federal Roads Office, abbreviation, FEDRO]
  • A. FEDRO chosen
    FEDRO is the Swiss federal authority responsible for planning, constructing, operating, and maintaining the national road network.
  • B. Federko
    Federko is the surname of Bernie Federko, a Canadian former professional ice hockey center and Hockey Hall of Famer best known for his career with the St. Louis Blues.
  • C. Fudam
    Fudam is a coastal village in the Diu district of the Indian union territory of Dadra and Nagar Haveli and Daman and Diu, known for its fishing community and proximity to Diu town.
  • D. FED
    FED is the commonly used abbreviation for the Faculty of Engineering and Design, an academic unit focused on engineering and design education and research.
  • E. FED
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cde590819080dc474292b023ee completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28f125481909664363904f4c031 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.