Triple
T6747150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Lauderdale–Hollywood International Airport |
E154245
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | KFLL |
E154246
|
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: KFLL | Statement: [Fort Lauderdale–Hollywood International Airport, ICAO code, KFLL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFLL Context triple: [Fort Lauderdale–Hollywood International Airport, ICAO code, KFLL]
-
A.
KFLL
chosen
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.
KFRR
KFRR is the ICAO airport code for Front Royal–Warren County Airport, a public-use airport serving the Front Royal area in Virginia, United States.
-
C.
LFL
LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
-
D.
LFL
LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
-
E.
UFL
UFL is a common abbreviation for the University of Florida, a major public research university in Gainesville known for its strong academics and athletics.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b8a0f0819086b802983e8ffcb6 |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b15ded88190a36fb86093ba5a3c |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.