Triple

T4848596
Position Surface form Disambiguated ID Type / Status
Subject Tbilisi International Airport E108354 entity
Predicate ICAOcode P419 FINISHED
Object UGTB
UGTB is the ICAO airport code for Tbilisi International Airport, the main international gateway to Tbilisi, the capital of Georgia.
 E473517 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: UGTB | Statement: [Tbilisi International Airport, ICAOcode, UGTB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UGTB
Context triple: [Tbilisi International Airport, ICAOcode, UGTB]
  • A. UGTT
    UGTT is Tunisia’s main national trade union federation, historically influential in labor rights advocacy and the country’s political and social movements.
  • B. UGT
    UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
  • C. UGT
    UGT is a major Portuguese trade union confederation representing workers across multiple sectors.
  • D. UG
    UG is the ISO 3166-1 alpha-2 country code for Uganda, used in international standards and country abbreviations.
  • E. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • 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: UGTB
Triple: [Tbilisi International Airport, ICAOcode, UGTB]
Generated description
UGTB is the ICAO airport code for Tbilisi International Airport, the main international gateway to Tbilisi, the capital of Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UGTB
Target entity description: UGTB is the ICAO airport code for Tbilisi International Airport, the main international gateway to Tbilisi, the capital of Georgia.
  • A. UGTT
    UGTT is Tunisia’s main national trade union federation, historically influential in labor rights advocacy and the country’s political and social movements.
  • B. UGT
    UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
  • C. UGT
    UGT is a major Portuguese trade union confederation representing workers across multiple sectors.
  • D. UG
    UG is the ISO 3166-1 alpha-2 country code for Uganda, used in international standards and country abbreviations.
  • E. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1c5594819094fe021d7717032d completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cdafb3481908594ae883c6e9872 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5d4f2f908190b305996875f1f956 completed March 21, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_69be5dcbb58c8190bbcf75c570720ad6 completed March 21, 2026, 8:58 a.m.
Created at: March 20, 2026, 1:25 p.m.