Triple

T2295315
Position Surface form Disambiguated ID Type / Status
Subject Turkish Airlines E51598 entity
Predicate cargoDivision P16271 FINISHED
Object Turkish Cargo E51598 NE FINISHED

How this triple was built (3 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: Turkish Cargo | Statement: [Turkish Airlines, cargoDivision, Turkish Cargo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkish Cargo
Context triple: [Turkish Airlines, cargoDivision, Turkish Cargo]
  • A. Pegasus Airlines
    Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
  • B. Turkish Airlines chosen
    Turkish Airlines is the national flag carrier airline of Turkey, operating an extensive global network of passenger and cargo flights across Europe, Asia, Africa, and the Americas.
  • C. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • D. Etihad Cargo
    Etihad Cargo is the freight and logistics division of Etihad Airways, providing global air cargo services across an international network.
  • E. Qeshm Air
    Qeshm Air is an Iranian airline that operates domestic and regional flights, primarily serving routes within Iran and to nearby international destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cargoDivision
Context triple: [Turkish Airlines, cargoDivision, Turkish Cargo]
  • A. hasCargoDivision chosen
    Indicates that an organization possesses a specific division or unit responsible for cargo-related operations or services.
  • B. divisionServed
    Indicates that a particular division provides services or support to, or has responsibility for, a specified entity or area.
  • C. divisionRenamedFrom
    Indicates that a division currently known by one name was previously known by another specified name.
  • D. fieldDivision
    Indicates a relationship where a larger field or area is partitioned into smaller sections or subdivisions.
  • E. dividedBetween
    Indicates that something is partitioned or shared among two or more distinct entities or groups.
  • F. None of above.

Provenance (4 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcd0e42248190ada33b84d75caa64 completed March 7, 2026, 7 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f28db6c81909dbe55c704307da6 completed March 9, 2026, 8:04 a.m.
PD Predicate disambiguation batch_69abc589295c819092989820c2b4e9d8 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.