Triple

T8265373
Position Surface form Disambiguated ID Type / Status
Subject Velana International Airport E193288 entity
Predicate focusCityFor P164 FINISHED
Object Flyme
Flyme is a Maldivian domestic airline that operates scheduled passenger services connecting Malé with various islands and resorts across the Maldives.
 E722134 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: Flyme | Statement: [Velana International Airport, focusCityFor, Flyme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flyme
Context triple: [Velana International Airport, focusCityFor, Flyme]
  • A. Flurry
    Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
  • B. Feyli
    Feyli is a dialect of Southern Kurdish spoken primarily by the Feyli Kurds in parts of Iraq and Iran.
  • C. FlyLo
    FlyLo is the stage name of Flying Lotus, an experimental electronic music producer and DJ known for his genre-blending sound and influential work in contemporary beat music.
  • D. Flick
    Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
  • E. Flake
    "Flake" is a laid-back, acoustic surf-folk song by Jack Johnson that helped establish his mellow, beach-inspired musical style.
  • 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: Flyme
Triple: [Velana International Airport, focusCityFor, Flyme]
Generated description
Flyme is a Maldivian domestic airline that operates scheduled passenger services connecting Malé with various islands and resorts across the Maldives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flyme
Target entity description: Flyme is a Maldivian domestic airline that operates scheduled passenger services connecting Malé with various islands and resorts across the Maldives.
  • A. Flurry
    Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
  • B. Feyli
    Feyli is a dialect of Southern Kurdish spoken primarily by the Feyli Kurds in parts of Iraq and Iran.
  • C. FlyLo
    FlyLo is the stage name of Flying Lotus, an experimental electronic music producer and DJ known for his genre-blending sound and influential work in contemporary beat music.
  • D. Flick
    Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
  • E. Flake
    "Flake" is a laid-back, acoustic surf-folk song by Jack Johnson that helped establish his mellow, beach-inspired musical style.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794c54448190a685b8d0070980d7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd4e5e9a2c819099a65053a12c8fde completed April 1, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69cd507ce2a881909da6871a9f6df119 completed April 1, 2026, 5:06 p.m.
Created at: March 30, 2026, 5:50 p.m.