Triple

T22133410
Position Surface form Disambiguated ID Type / Status
Subject Oulu Airport E546963 entity
Predicate ICAOcode P419 FINISHED
Object EFOU
EFOU is the ICAO airport code for Oulu Airport, a major regional airport in northern Finland.
E1519848 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: EFOU | Statement: [Oulu Airport, ICAOcode, EFOU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EFOU
Context triple: [Oulu Airport, ICAOcode, EFOU]
  • A. Fou
    Fou is a small, mysterious, animal-like familiar in the Fate/Grand Order series, known for its cute appearance, limited speech, and hidden connection to powerful magical origins.
  • B. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • C. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • D. 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.
  • E. FEF
    FEF is the commonly used abbreviation for the Ecuadorian Football Federation, the governing body of football in Ecuador.
  • 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: EFOU
Triple: [Oulu Airport, ICAOcode, EFOU]
Generated description
EFOU is the ICAO airport code for Oulu Airport, a major regional airport in northern Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EFOU
Target entity description: EFOU is the ICAO airport code for Oulu Airport, a major regional airport in northern Finland.
  • A. Fou
    Fou is a small, mysterious, animal-like familiar in the Fate/Grand Order series, known for its cute appearance, limited speech, and hidden connection to powerful magical origins.
  • B. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • C. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • D. 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.
  • E. FEF
    FEF is the commonly used abbreviation for the Ecuadorian Football Federation, the governing body of football in Ecuador.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129b81d5c819085fd18bf3ae28333 completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f2bd49c81908a75359074a0ada2 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a91ef8d188190a6ec20d6c43aef91 completed May 18, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a9266624c81908eb06a0fc02b85d4 completed May 18, 2026, 4:15 a.m.
Created at: April 16, 2026, 8:32 p.m.