Triple
T2334720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurumoch International Airport |
E44283
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
KUF
KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
|
E256959
|
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: KUF | Statement: [Kurumoch International Airport, IATA code, KUF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KUF Context triple: [Kurumoch International Airport, IATA code, KUF]
-
A.
KWF
KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
-
B.
KAFD
KAFD is a major business and financial hub in Riyadh, Saudi Arabia, designed as a modern district for financial institutions, corporations, and mixed-use urban development.
-
C.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
D.
KU
KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
-
E.
KU
KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
- 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: KUF Triple: [Kurumoch International Airport, IATA code, KUF]
Generated description
KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KUF Target entity description: KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
-
A.
KWF
KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
-
B.
KAFD
KAFD is a major business and financial hub in Riyadh, Saudi Arabia, designed as a modern district for financial institutions, corporations, and mixed-use urban development.
-
C.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
D.
KU
KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
-
E.
KU
KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc687362c8190a55b3d6cb1580d56 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897bf59c8190bc0ac8a4f3841832 |
completed | March 9, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69ae8aceea58819098a98f7ad5818ac6 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b6c553481908b2b7b1f880b814d |
completed | March 9, 2026, 8:57 a.m. |
Created at: March 4, 2026, 7:51 p.m.