Triple

T15792847
Position Surface form Disambiguated ID Type / Status
Subject Ganja International Airport E382900 entity
Predicate icaoCode P419 FINISHED
Object UBBG
UBBG is the ICAO airport code for Ganja International Airport in Ganja, Azerbaijan.
E1177599 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: UBBG | Statement: [Ganja International Airport, icaoCode, UBBG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UBBG
Context triple: [Ganja International Airport, icaoCode, UBBG]
  • A. UBB
    UBB is a Chilean public university known for its focus on regional development, engineering, architecture, and applied research.
  • B. UBSG
    UBSG is the stock ticker symbol for UBS Group AG, a major global Swiss-based financial services and investment banking firm.
  • C. UMBB
    UMBB is the ICAO airport code for Brest Airport in Belarus, used in aviation for flight planning and air traffic control.
  • D. UbU
    UbU is the commonly used abbreviation for the Swedish Riksdag’s Committee on Education, which handles national education and research policy matters.
  • E. UUBW
    UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
  • 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: UBBG
Triple: [Ganja International Airport, icaoCode, UBBG]
Generated description
UBBG is the ICAO airport code for Ganja International Airport in Ganja, Azerbaijan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UBBG
Target entity description: UBBG is the ICAO airport code for Ganja International Airport in Ganja, Azerbaijan.
  • A. UBB
    UBB is a Chilean public university known for its focus on regional development, engineering, architecture, and applied research.
  • B. UBSG
    UBSG is the stock ticker symbol for UBS Group AG, a major global Swiss-based financial services and investment banking firm.
  • C. UMBB
    UMBB is the ICAO airport code for Brest Airport in Belarus, used in aviation for flight planning and air traffic control.
  • D. UbU
    UbU is the commonly used abbreviation for the Swedish Riksdag’s Committee on Education, which handles national education and research policy matters.
  • E. UUBW
    UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4da381c819086195e3d20591abf completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90ab23048190a6d976c9a3143647 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93c259e481908d419c101512c140 completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff9458a1388190bfb2b1ecbbf5ebdd completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.