Triple

T2295282
Position Surface form Disambiguated ID Type / Status
Subject Turkish Airlines E51598 entity
Predicate ICAOcode P419 FINISHED
Object THY E51598 NE FINISHED

How this triple was built (2 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: THY | Statement: [Turkish Airlines, ICAOcode, THY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: THY
Context triple: [Turkish Airlines, ICAOcode, THY]
  • A. 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.
  • B. 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.
  • C. TAROM
    TAROM is the national flag carrier airline of Romania, operating domestic and international flights primarily from its hub in Bucharest.
  • D. Aegean Airlines
    Aegean Airlines is the largest Greek airline, operating an extensive network of domestic and international flights across Europe and the Eastern Mediterranean.
  • E. UTair Aviation
    UTair Aviation is a Russian airline headquartered in Khanty-Mansiysk that operates domestic and regional flights, as well as some international services, with a major presence in western Siberia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f2654e4819090dea196cf38652e completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:49 p.m.