Triple

T17447737
Position Surface form Disambiguated ID Type / Status
Subject Manas International Airport E424828 entity
Predicate IATAcode P418 FINISHED
Object FRU
FRU is the IATA airport code for Manas International Airport, the main international gateway serving Bishkek, the capital of Kyrgyzstan.
 E1269293 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: FRU | Statement: [Manas International Airport, IATAcode, FRU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRU
Context triple: [Manas International Airport, IATAcode, FRU]
  • A. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FPC
    FPC is the abbreviated name of the Federal Passenger Company, a major Russian railway operator specializing in long-distance and suburban passenger transport.
  • D. FPC
    FPC is the common abbreviation for the Farah Palmer Cup, New Zealand’s premier women’s provincial rugby union competition.
  • E. FRAS
    FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
  • 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: FRU
Triple: [Manas International Airport, IATAcode, FRU]
Generated description
FRU is the IATA airport code for Manas International Airport, the main international gateway serving Bishkek, the capital of Kyrgyzstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRU
Target entity description: FRU is the IATA airport code for Manas International Airport, the main international gateway serving Bishkek, the capital of Kyrgyzstan.
  • A. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FPC
    FPC is the abbreviated name of the Federal Passenger Company, a major Russian railway operator specializing in long-distance and suburban passenger transport.
  • D. FPC
    FPC is the common abbreviation for the Farah Palmer Cup, New Zealand’s premier women’s provincial rugby union competition.
  • E. FRAS
    FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffe18f08190be023de89e3d7d5c completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01affab32081908d97960513a6e8e4 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b164864481909673d9351bb7f817 completed May 11, 2026, 10:37 a.m.
NED2 Entity disambiguation (via description) batch_6a01b251040c8190a1d030cb55e4f052 completed May 11, 2026, 10:41 a.m.
Created at: April 10, 2026, 5:47 a.m.