Triple

T8622313
Position Surface form Disambiguated ID Type / Status
Subject Kutaisi International Airport E204196 entity
Predicate ICAOcode P419 FINISHED
Object UGKO E204194 NE FINISHED

How this triple was built (2 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: UGKO | Statement: [Kutaisi International Airport, ICAOcode, UGKO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGKO
Context triple: [Kutaisi International Airport, ICAOcode, UGKO]
  • A. UGKO chosen
    UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
  • B. Ug
    Ug is a shape-shifting intergalactic bounty hunter featured in the sci-fi horror comedy film "Critters 2: The Main Course."
  • C. UG
    UG is the ISO 3166-1 alpha-2 country code for Uganda, used in international standards and country abbreviations.
  • D. UGOFE
    UGOFE was an Argentine railway consortium formed by several private operators to temporarily manage and rehabilitate commuter rail services in the Buenos Aires metropolitan area after the revocation of previous concessions.
  • E. Uyugan
    Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4717f0e88190aaf0fd45bf726941 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc92beb48190ad406f48e58d9d0c completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:26 p.m.