Triple
T11425743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital City Airport (Kentucky) |
E270743
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | FFT |
E864325
|
NE FINISHED |
How this triple was built (2 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: FFT | Statement: [Capital City Airport (Kentucky), IATA code, FFT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FFT Context triple: [Capital City Airport (Kentucky), IATA code, FFT]
-
A.
FFT
FFT is the ICAO airline designator used in aviation to identify Frontier Airlines in flight plans and air traffic control communications.
-
B.
FFT
chosen
FFT is the IATA airport code for Capital City Airport in Kentucky, United States.
-
C.
FFT
FFT is the French Tennis Federation, the national governing body for tennis in France and organizer of major tournaments including the French Open.
-
D.
Fourier transform
The Fourier transform is a mathematical operation that decomposes a function or signal into its constituent frequencies, widely used in engineering, physics, and signal processing.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806be9c2c819084da13101cbb6c81 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8b553808190bf8b40d9b03e12b7 |
completed | April 20, 2026, 5:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.