Triple

T7949385
Position Surface form Disambiguated ID Type / Status
Subject Cargolux Italia E184575 entity
Predicate callsign P1565 FINISHED
Object CARGO MED
CARGO MED is the radio callsign used by the Italian cargo airline Cargolux Italia during its flight operations.
E704593 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: CARGO MED | Statement: [Cargolux Italia, callsign, CARGO MED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CARGO MED
Context triple: [Cargolux Italia, callsign, CARGO MED]
  • A. MEA Cargo
    MEA Cargo is the air freight division of Middle East Airlines, providing cargo transport and logistics services primarily through its operations at Beirut–Rafic Hariri International Airport.
  • B. Cargo
    Cargo is Rust’s official build and dependency management tool that streamlines compiling code, managing libraries, and distributing Rust packages.
  • C. Cargo
    Cargo is a small rural town in the Central West region of New South Wales, Australia, known for its agricultural surroundings and village community.
  • D. LOT Cargo
    LOT Cargo is the air freight and cargo handling division of LOT Polish Airlines, providing logistics and cargo transport services on the carrier’s route network.
  • E. Medicosma
    Medicosma is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs and small trees native mainly to Australasia and nearby regions.
  • 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: CARGO MED
Triple: [Cargolux Italia, callsign, CARGO MED]
Generated description
CARGO MED is the radio callsign used by the Italian cargo airline Cargolux Italia during its flight operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CARGO MED
Target entity description: CARGO MED is the radio callsign used by the Italian cargo airline Cargolux Italia during its flight operations.
  • A. MEA Cargo
    MEA Cargo is the air freight division of Middle East Airlines, providing cargo transport and logistics services primarily through its operations at Beirut–Rafic Hariri International Airport.
  • B. Cargo
    Cargo is Rust’s official build and dependency management tool that streamlines compiling code, managing libraries, and distributing Rust packages.
  • C. Cargo
    Cargo is a small rural town in the Central West region of New South Wales, Australia, known for its agricultural surroundings and village community.
  • D. LOT Cargo
    LOT Cargo is the air freight and cargo handling division of LOT Polish Airlines, providing logistics and cargo transport services on the carrier’s route network.
  • E. Medicosma
    Medicosma is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs and small trees native mainly to Australasia and nearby regions.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2d09a4819097aa49e29a5426ec completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe03c7d308190aec1172415be995c completed March 31, 2026, 2:54 p.m.
NEDg Description generation batch_69cbe4383d0c819085e7c95e7b0be16e completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34a83cec81908aba7afbaea53449 completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:10 p.m.