Triple
T13137248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Collins-Loveland Municipal Airport |
E312115
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KFNL
KFNL is the ICAO airport code for Fort Collins-Loveland Municipal Airport in Colorado, United States.
|
E1022185
|
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: KFNL | Statement: [Fort Collins-Loveland Municipal Airport, ICAOcode, KFNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFNL Context triple: [Fort Collins-Loveland Municipal Airport, ICAOcode, KFNL]
-
A.
KFLL
KFLL is the ICAO airport code for Fort Lauderdale–Hollywood International Airport, a major commercial airport serving the Fort Lauderdale and greater South Florida region.
-
B.
FKF
FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
-
C.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
D.
WKF
WKF is the IATA airport code for Air Force Base Waterkloof, a major South African Air Force installation near Pretoria.
-
E.
LFKF
LFKF is the ICAO airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
- 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: KFNL Triple: [Fort Collins-Loveland Municipal Airport, ICAOcode, KFNL]
Generated description
KFNL is the ICAO airport code for Fort Collins-Loveland Municipal Airport in Colorado, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KFNL Target entity description: KFNL is the ICAO airport code for Fort Collins-Loveland Municipal Airport in Colorado, United States.
-
A.
KFLL
KFLL is the ICAO airport code for Fort Lauderdale–Hollywood International Airport, a major commercial airport serving the Fort Lauderdale and greater South Florida region.
-
B.
FKF
FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
-
C.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
D.
WKF
WKF is the IATA airport code for Air Force Base Waterkloof, a major South African Air Force installation near Pretoria.
-
E.
LFKF
LFKF is the ICAO airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b53fbc8190a0f209c32a00f6cb |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e295b3408190a7246115d3ee90e5 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e3a950548190836e24621a5ece74 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e454f95c8190b023c5d141999dd8 |
completed | May 3, 2026, 5:59 a.m. |
Created at: April 9, 2026, 9:09 p.m.