Triple

T22773892
Position Surface form Disambiguated ID Type / Status
Subject Smolensk North Airport E563637 entity
Predicate ICAOcode P419 FINISHED
Object XUBS
XUBS is the ICAO airport code assigned to Smolensk North Airport in Russia.
 E1552958 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: XUBS | Statement: [Smolensk North Airport, ICAOcode, XUBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XUBS
Context triple: [Smolensk North Airport, ICAOcode, XUBS]
  • A. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • B. XUZ
    XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
  • C. XU
    XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • D. XU
    XU is the commonly used abbreviation for Xavier University's athletic teams, particularly its men's basketball program.
  • E. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • 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: XUBS
Triple: [Smolensk North Airport, ICAOcode, XUBS]
Generated description
XUBS is the ICAO airport code assigned to Smolensk North Airport in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XUBS
Target entity description: XUBS is the ICAO airport code assigned to Smolensk North Airport in Russia.
  • A. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • B. XUZ
    XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
  • C. XU
    XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • D. XU
    XU is the commonly used abbreviation for Xavier University's athletic teams, particularly its men's basketball program.
  • E. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b6040048190a36fa759e06136ea completed April 29, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9822db848190b8498f7bc47bf7e2 completed May 18, 2026, 10:52 p.m.
NEDg Description generation batch_6a0b98e33b78819084ac449dd47cc778 completed May 18, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9996e05c8190ad2cb5704bb4c245 completed May 18, 2026, 10:58 p.m.
Created at: April 17, 2026, 3:27 p.m.