Triple

T14701239
Position Surface form Disambiguated ID Type / Status
Subject UT E345303 entity
Predicate assignedTo P3151 FINISHED
Object UTair Aviation E393109 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: UTair Aviation | Statement: [UT, assignedTo, UTair Aviation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTair Aviation
Context triple: [UT, assignedTo, UTair Aviation]
  • A. 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.
  • B. ATA Airlines
    ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
  • C. UNI Air
    UNI Air is a Taiwanese regional airline that operates domestic and short-haul international flights, particularly within East Asia.
  • D. UTAIR chosen
    UTAIR is a Russian airline that operates domestic and international passenger and cargo flights, with a significant presence in regional and helicopter services.
  • E. Uzbekistan Airways
    Uzbekistan Airways is the national flag carrier airline of Uzbekistan, operating domestic and international passenger and cargo flights from its main hub in Tashkent.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb605f5948190ab6b20887c4b6833 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0841da48190991d5045954a32ab completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.