Triple

T13482129
Position Surface form Disambiguated ID Type / Status
Subject Osh E318396 entity
Predicate hasAirport P105 FINISHED
Object Osh International Airport
Osh International Airport is a major airport in southern Kyrgyzstan serving the city of Osh and acting as an important regional hub for domestic and international flights.
E1043110 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: Osh International Airport | Statement: [Osh, hasAirport, Osh International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osh International Airport
Context triple: [Osh, hasAirport, Osh International Airport]
  • A. Uytash Airport
    Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
  • B. Shosseynaya Airport
    Shosseynaya Airport was the original name of what is now known as Pulkovo Airport, the main international airport serving Saint Petersburg, Russia.
  • C. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • D. Humera Airport
    Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera and its surrounding area.
  • E. Rinas Airport
    Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
  • 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: Osh International Airport
Triple: [Osh, hasAirport, Osh International Airport]
Generated description
Osh International Airport is a major airport in southern Kyrgyzstan serving the city of Osh and acting as an important regional hub for domestic and international flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Osh International Airport
Target entity description: Osh International Airport is a major airport in southern Kyrgyzstan serving the city of Osh and acting as an important regional hub for domestic and international flights.
  • A. Uytash Airport
    Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
  • B. Shosseynaya Airport
    Shosseynaya Airport was the original name of what is now known as Pulkovo Airport, the main international airport serving Saint Petersburg, Russia.
  • C. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • D. Humera Airport
    Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera and its surrounding area.
  • E. Rinas Airport
    Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3868ec8190a6a1803018d4f2d8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74635145c8190a42199fe4ed8c2a5 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f748dfd4f081908fd5d77fe70f9db4 completed May 3, 2026, 1:08 p.m.
NED2 Entity disambiguation (via description) batch_69f74965c53081909c662f7f991849bf completed May 3, 2026, 1:11 p.m.
Created at: April 9, 2026, 9:42 p.m.