Triple
T10455455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital City Airport |
E246539
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
KFFT
KFFT is the ICAO airport code for Capital City Airport in Kentucky, United States.
|
E864326
|
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: KFFT | Statement: [Capital City Airport, hasICAOCode, KFFT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFFT Context triple: [Capital City Airport, hasICAOCode, KFFT]
-
A.
2 CFFTS
2 CFFTS is a Royal Canadian Air Force training unit responsible for providing pilot and aircrew flying instruction in Canada.
-
B.
Fourier
Fourier is a French surname most famously associated with Jean-Baptiste Joseph Fourier, the mathematician and physicist known for developing Fourier analysis and Fourier series.
-
C.
3 CFFTS
3 CFFTS is a Royal Canadian Air Force training unit responsible for advanced flying instruction and pilot development in Canada.
-
D.
FFT
FFT is the French Tennis Federation, the national governing body for tennis in France and organizer of major tournaments including the French Open.
-
E.
FFT
FFT is the ICAO airline designator used in aviation to identify Frontier Airlines in flight plans and air traffic control communications.
- 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: KFFT Triple: [Capital City Airport, hasICAOCode, KFFT]
Generated description
KFFT is the ICAO airport code for Capital City Airport in Kentucky, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KFFT Target entity description: KFFT is the ICAO airport code for Capital City Airport in Kentucky, United States.
-
A.
2 CFFTS
2 CFFTS is a Royal Canadian Air Force training unit responsible for providing pilot and aircrew flying instruction in Canada.
-
B.
Fourier
Fourier is a French surname most famously associated with Jean-Baptiste Joseph Fourier, the mathematician and physicist known for developing Fourier analysis and Fourier series.
-
C.
3 CFFTS
3 CFFTS is a Royal Canadian Air Force training unit responsible for advanced flying instruction and pilot development in Canada.
-
D.
FFT
FFT is the French Tennis Federation, the national governing body for tennis in France and organizer of major tournaments including the French Open.
-
E.
FFT
FFT is the ICAO airline designator used in aviation to identify Frontier Airlines in flight plans and air traffic control communications.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe48d15c8190bae0d4859e6cda5d |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f10b45c81908f1d3128c65750f8 |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c562c081908aae846da8efb1a5 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dd0c28481908008aea09bf956ca |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:18 p.m.