Triple

T5498873
Position Surface form Disambiguated ID Type / Status
Subject Swiss Federal Roads Office E144276 entity
Predicate usesAbbreviation 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: [Swiss Federal Roads Office, usesAbbreviation, FEDRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FEDRO
Context triple: [Swiss Federal Roads Office, usesAbbreviation, FEDRO]
  • A. FEDRO chosen
    FEDRO is the Swiss federal authority responsible for planning, constructing, operating, and maintaining the national road network.
  • B. 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.
  • C. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • D. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • E. Fideuram
    Fideuram is a prominent Italian private banking and wealth management institution operating within the Intesa Sanpaolo banking group.
  • 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.