Triple

T323418
Position Surface form Disambiguated ID Type / Status
Subject Sheremetyevo International Airport E6463 entity
Predicate ICAOcode P419 FINISHED
Object UUEE
UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
 E42073 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: UUEE | Statement: [Sheremetyevo International Airport, ICAOcode, UUEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UUEE
Context triple: [Sheremetyevo International Airport, ICAOcode, UUEE]
  • A. UUDD
    UUDD is the ICAO airport code for Moscow’s Domodedovo International Airport, one of Russia’s major aviation hubs.
  • B. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • C. EET
    EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
  • D. AAE
    AAE is the abbreviation commonly used for the French Air and Space Force, the aerial warfare branch of France’s armed forces.
  • E. EEF
    EEF is the abbreviation for the Economist Educational Foundation, a charity that promotes economic and financial literacy through educational resources and programs.
  • 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: UUEE
Triple: [Sheremetyevo International Airport, ICAOcode, UUEE]
Generated description
UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UUEE
Target entity description: UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
  • A. UUDD
    UUDD is the ICAO airport code for Moscow’s Domodedovo International Airport, one of Russia’s major aviation hubs.
  • B. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • C. EET
    EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
  • D. AAE
    AAE is the abbreviation commonly used for the French Air and Space Force, the aerial warfare branch of France’s armed forces.
  • E. EEF
    EEF is the abbreviation for the Economist Educational Foundation, a charity that promotes economic and financial literacy through educational resources and programs.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea82ba748190bae651f5de908617 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe9c66c8190957b2ab7f5bae6fd completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d07284288190bfe67602562ec0b5 completed March 1, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_69a3d0fb4a88819096823bed2d1a65e3 completed March 1, 2026, 5:39 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.