Triple
T9171087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krasnoyarsk Yemelyanovo Airport |
E220080
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
UNKL
UNKL is the ICAO airport code for Krasnoyarsk Yemelyanovo Airport, a major international airport serving the city of Krasnoyarsk in central Siberia, Russia.
|
E782697
|
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: UNKL | Statement: [Krasnoyarsk Yemelyanovo Airport, ICAOcode, UNKL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNKL Context triple: [Krasnoyarsk Yemelyanovo Airport, ICAOcode, UNKL]
-
A.
UCK
UCK is the IATA airport code for Lutsk Airport, a regional airport serving the city of Lutsk in western Ukraine.
-
B.
UNTL
UNTL is the main public university of Timor-Leste, offering higher education and research across a range of academic disciplines.
-
C.
UNWE
UNWE is a leading Bulgarian higher education institution in Sofia specializing in economics, business, and social sciences.
-
D.
UNTAET
UNTAET (United Nations Transitional Administration in East Timor) was a UN peacekeeping and governance mission that administered East Timor during its transition to independence after the 1999 crisis.
-
E.
KLu
KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
- 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: UNKL Triple: [Krasnoyarsk Yemelyanovo Airport, ICAOcode, UNKL]
Generated description
UNKL is the ICAO airport code for Krasnoyarsk Yemelyanovo Airport, a major international airport serving the city of Krasnoyarsk in central Siberia, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UNKL Target entity description: UNKL is the ICAO airport code for Krasnoyarsk Yemelyanovo Airport, a major international airport serving the city of Krasnoyarsk in central Siberia, Russia.
-
A.
UCK
UCK is the IATA airport code for Lutsk Airport, a regional airport serving the city of Lutsk in western Ukraine.
-
B.
UNG
UNG is a public university in Georgia known for its strong focus on leadership development, military programs, and accessible undergraduate education across multiple campuses.
-
C.
UNTL
UNTL is the main public university of Timor-Leste, offering higher education and research across a range of academic disciplines.
-
D.
UNWE
UNWE is a leading Bulgarian higher education institution in Sofia specializing in economics, business, and social sciences.
-
E.
UNTAET
UNTAET (United Nations Transitional Administration in East Timor) was a UN peacekeeping and governance mission that administered East Timor during its transition to independence after the 1999 crisis.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0549746b0819099c2a591900f9c8c |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0558aeb7c8190a638e81bd0a6b47a |
completed | April 4, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0598de6388190a535748893dfb09c |
completed | April 4, 2026, 12:21 a.m. |
Created at: March 30, 2026, 7:22 p.m.