Triple
T15019396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Kankakee Airport |
E378043
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
IKK
IKK is the three-letter IATA airport code assigned to Greater Kankakee Airport in Illinois, United States.
|
E1132591
|
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: IKK | Statement: [Greater Kankakee Airport, IATA code, IKK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IKK Context triple: [Greater Kankakee Airport, IATA code, IKK]
-
A.
IK
IK is the IATA airport code for IKAR, identifying it within the international air transport system.
-
B.
IKW
IKW is the commonly used abbreviation for the Institute of Cognitive Science, a research and teaching institution focused on the interdisciplinary study of mind and cognition.
-
C.
IKAR
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
-
D.
IKF
IKF is the International Kabaddi Federation, the global governing body responsible for overseeing and promoting the sport of kabaddi worldwide.
-
E.
IKA
IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
- 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: IKK Triple: [Greater Kankakee Airport, IATA code, IKK]
Generated description
IKK is the three-letter IATA airport code assigned to Greater Kankakee Airport in Illinois, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IKK Target entity description: IKK is the three-letter IATA airport code assigned to Greater Kankakee Airport in Illinois, United States.
-
A.
IK
IK is the IATA airport code for IKAR, identifying it within the international air transport system.
-
B.
IKW
IKW is the commonly used abbreviation for the Institute of Cognitive Science, a research and teaching institution focused on the interdisciplinary study of mind and cognition.
-
C.
IKAR
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
-
D.
IKF
IKF is the International Kabaddi Federation, the global governing body responsible for overseeing and promoting the sport of kabaddi worldwide.
-
E.
IKA
IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96af719881909906adfd6cb508aa |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97af0a0c8190bca3ea103d05fd99 |
completed | May 9, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe98b18ab48190b2a47418904e6643 |
completed | May 9, 2026, 2:15 a.m. |
Created at: April 10, 2026, 2:56 a.m.