Triple

T12341472
Position Surface form Disambiguated ID Type / Status
Subject Bugulma E294235 entity
Predicate hasAirport P105 FINISHED
Object Bugulma Airport
Bugulma Airport is a regional airport in Tatarstan, Russia, serving the city of Bugulma and surrounding areas with domestic flights.
E987662 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: Bugulma Airport | Statement: [Bugulma, hasAirport, Bugulma Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bugulma Airport
Context triple: [Bugulma, hasAirport, Bugulma Airport]
  • A. Tarama Airport
    Tarama Airport is a small regional airport serving the remote Tarama Island in Okinawa Prefecture, Japan, providing essential air links for local residents and visitors.
  • B. Oğuzeli Airport
    Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
  • C. Van Ferit Melen Airport
    Van Ferit Melen Airport is a regional public airport serving the city of Van in eastern Turkey, providing both domestic and limited international flights.
  • D. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • E. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • 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: Bugulma Airport
Triple: [Bugulma, hasAirport, Bugulma Airport]
Generated description
Bugulma Airport is a regional airport in Tatarstan, Russia, serving the city of Bugulma and surrounding areas with domestic flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bugulma Airport
Target entity description: Bugulma Airport is a regional airport in Tatarstan, Russia, serving the city of Bugulma and surrounding areas with domestic flights.
  • A. Tarama Airport
    Tarama Airport is a small regional airport serving the remote Tarama Island in Okinawa Prefecture, Japan, providing essential air links for local residents and visitors.
  • B. Oğuzeli Airport
    Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
  • C. Van Ferit Melen Airport
    Van Ferit Melen Airport is a regional public airport serving the city of Van in eastern Turkey, providing both domestic and limited international flights.
  • D. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • E. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8ed1dc81908a0066d7cbfda086 completed May 2, 2026, 7:07 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:53 p.m.