Triple
T12446601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernandina Beach Municipal Airport |
E297415
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object | FHB |
E985120
|
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: FHB | Statement: [Fernandina Beach Municipal Airport, FAA LID, FHB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FHB Context triple: [Fernandina Beach Municipal Airport, FAA LID, FHB]
-
A.
FHB
chosen
FHB is the IATA airport code for Fernandina Beach Municipal Airport, a public airport serving Fernandina Beach in northeastern Florida, USA.
-
B.
Smut
Smut is a character in Peter Greenaway’s darkly comic film "Drowning by Numbers," known for his morbid fascination with death and his role in the movie’s numerically structured narrative.
-
C.
Fusarium
Fusarium is a large genus of filamentous fungi widely known as plant pathogens that cause diseases in crops and can produce harmful mycotoxins.
-
D.
Boehmeriopsis
Boehmeriopsis is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Asia and known for its herbaceous species.
-
E.
Brochothrix
Brochothrix is a genus of Gram-positive bacteria known for its role in the spoilage of chilled meat and other refrigerated foods.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d90f18c819083a36ff4b9be4a20 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9f4dd08190b1d62b03d68cc8a6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.