Triple

T5937738
Position Surface form Disambiguated ID Type / Status
Subject Yakutsk Airport E132084 entity
Predicate ICAOcode P419 FINISHED
Object UEEE
UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
E557199 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: UEEE | Statement: [Yakutsk Airport, ICAOcode, UEEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UEEE
Context triple: [Yakutsk Airport, ICAOcode, UEEE]
  • A. UUEE
    UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
  • B. EEPU
    EEPU is the ICAO airport code for the Port of Tallinn’s associated airfield in Estonia.
  • C. UEW
    UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
  • D. USEU
    USEU is the official diplomatic mission representing the United States government to the institutions of the European Union in Brussels.
  • E. UEP
    UEP is a leading Polish university in Poznań specializing in economics, business, and management education and research.
  • 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: UEEE
Triple: [Yakutsk Airport, ICAOcode, UEEE]
Generated description
UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UEEE
Target entity description: UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
  • A. UUEE
    UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
  • B. EEPU
    EEPU is the ICAO airport code for the Port of Tallinn’s associated airfield in Estonia.
  • C. UEW
    UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
  • D. USEU
    USEU is the official diplomatic mission representing the United States government to the institutions of the European Union in Brussels.
  • E. UEP
    UEP is a leading Polish university in Poznań specializing in economics, business, and management education and research.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038edd1b88190a608f9bf8a8090cf completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c06f979881908d7e98ee674f1ff2 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c329b1108190ac4fe897e2be9946 completed March 23, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c0c3a81a608190a39283b4df0ab4b9 completed March 23, 2026, 4:38 a.m.
Created at: March 22, 2026, 4:01 p.m.