Triple

T17443056
Position Surface form Disambiguated ID Type / Status
Subject FitsAir E424706 entity
Predicate callsign P1565 FINISHED
Object EXPOAVIA
EXPOAVIA is the radio callsign used by FitsAir, a Sri Lankan airline.
 E1269120 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: EXPOAVIA | Statement: [FitsAir, callsign, EXPOAVIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EXPOAVIA
Context triple: [FitsAir, callsign, EXPOAVIA]
  • A. A-Y-P Expo
    A-Y-P Expo was a world's fair held in Seattle in 1909 that showcased the development and resources of Alaska, the Yukon, and the Pacific Northwest.
  • B. Expo 2002
    Expo 2002 was the sixth Swiss national exposition, a large-scale cultural and technological showcase held in 2002 across several sites in the country.
  • C. Expomobilia
    Expomobilia is an exhibition and event construction brand of the MCH Group, specializing in designing and building trade fair and event environments worldwide.
  • D. Expo 83
    Expo 83 was a specialized international exposition held in Plovdiv, Bulgaria in 1983, showcasing technological, industrial, and cultural achievements.
  • E. Expo 85
    Expo 85 was a world's fair held in Tsukuba, Japan, showcasing advances in science and technology during the mid-1980s.
  • 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: EXPOAVIA
Triple: [FitsAir, callsign, EXPOAVIA]
Generated description
EXPOAVIA is the radio callsign used by FitsAir, a Sri Lankan airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EXPOAVIA
Target entity description: EXPOAVIA is the radio callsign used by FitsAir, a Sri Lankan airline.
  • A. A-Y-P Expo
    A-Y-P Expo was a world's fair held in Seattle in 1909 that showcased the development and resources of Alaska, the Yukon, and the Pacific Northwest.
  • B. Expo 2002
    Expo 2002 was the sixth Swiss national exposition, a large-scale cultural and technological showcase held in 2002 across several sites in the country.
  • C. Expomobilia
    Expomobilia is an exhibition and event construction brand of the MCH Group, specializing in designing and building trade fair and event environments worldwide.
  • D. Expo 83
    Expo 83 was a specialized international exposition held in Plovdiv, Bulgaria in 1983, showcasing technological, industrial, and cultural achievements.
  • E. Expo 85
    Expo 85 was a world's fair held in Tsukuba, Japan, showcasing advances in science and technology during the mid-1980s.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff927ec8190995798f569e913ba completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff63d688190b8fa63c8edafc01c completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0a265348190a884a58f3caf54df completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1b0553c8190bb76969fe95154ff completed May 11, 2026, 10:38 a.m.
Created at: April 10, 2026, 5:47 a.m.