Triple
T17877965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop International Airport |
E447006
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | FNT |
—
|
NE NERFINISHED |
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: FNT | Statement: [Bishop International Airport, IATA code, FNT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNT Context triple: [Bishop International Airport, IATA code, FNT]
-
A.
FNT
chosen
FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
-
B.
F.N
"F.N" is a breakout drill-influenced hip-hop track by Lil Tjay that reflects on betrayal, violence, and survival in his rise from the streets.
-
C.
FN
FN is a renowned Belgian firearms manufacturer known for producing military and civilian small arms used worldwide.
-
D.
FN
FN is the vehicle registration code used on license plates for vehicles registered in the German city of Friedrichshafen.
-
E.
FNMT
FNMT is the Spanish Royal Mint, the state-owned institution responsible for producing Spain’s coins, banknotes, and other official security documents.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0c46108190b8edef2572b5ba90 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.