Triple

T10374178
Position Surface form Disambiguated ID Type / Status
Subject Rygge E244459 entity
Predicate hasAirportIATA P2569 FINISHED
Object RYG
RYG is the IATA airport code for Moss Airport, Rygge, a former civil and military airport in southeastern Norway.
E860799 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: RYG | Statement: [Rygge, hasAirportIATA, RYG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RYG
Context triple: [Rygge, hasAirportIATA, RYG]
  • A. Blue Green Red
    Blue Green Red is a minimalist abstract painting by American artist Ellsworth Kelly, characterized by its bold, flat fields of primary colors arranged in simple geometric forms.
  • B. Gelb
    Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
  • C. RWB
    RWB is the commonly used abbreviation for the Royal Winnipeg Ballet, one of Canada’s oldest and most renowned ballet companies.
  • D. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • E. Yallow
    Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
  • 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: RYG
Triple: [Rygge, hasAirportIATA, RYG]
Generated description
RYG is the IATA airport code for Moss Airport, Rygge, a former civil and military airport in southeastern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RYG
Target entity description: RYG is the IATA airport code for Moss Airport, Rygge, a former civil and military airport in southeastern Norway.
  • A. Blue Green Red
    Blue Green Red is a minimalist abstract painting by American artist Ellsworth Kelly, characterized by its bold, flat fields of primary colors arranged in simple geometric forms.
  • B. Gelb
    Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
  • C. RWB
    RWB is the commonly used abbreviation for the Royal Winnipeg Ballet, one of Canada’s oldest and most renowned ballet companies.
  • D. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • E. Yallow
    Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956ca1e08190880342b22a55783f completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, 12:02 p.m.