Triple

T11788527
Position Surface form Disambiguated ID Type / Status
Subject Rovaniemi Airport E280331 entity
Predicate ICAO code P419 FINISHED
Object EFRO E280330 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: EFRO | Statement: [Rovaniemi Airport, ICAO code, EFRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EFRO
Context triple: [Rovaniemi Airport, ICAO code, EFRO]
  • A. EFRO chosen
    EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
  • B. EF
    EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
  • C. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • D. FEF
    FEF is the commonly used abbreviation for the Ecuadorian Football Federation, the governing body of football in Ecuador.
  • E. 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.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166c735008190a73dd74dbcddd182 completed April 29, 2026, 2:02 a.m.
Created at: April 8, 2026, 9:42 p.m.