Triple
T10382504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foley Municipal Airport |
E244675
|
entity |
| Predicate | faaCode |
P420
|
FINISHED |
| Object |
5R4
5R4 is the FAA location identifier for Foley Municipal Airport, a public-use airport serving Foley, Alabama.
|
E859859
|
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: 5R4 | Statement: [Foley Municipal Airport, faaCode, 5R4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 5R4 Context triple: [Foley Municipal Airport, faaCode, 5R4]
-
A.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
B.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
C.
R5
R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
-
D.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
E.
R540
R540 is a regional road in South Africa that serves as a connector route in the Mpumalanga province, linking towns such as Lydenburg to surrounding areas.
- 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: 5R4 Triple: [Foley Municipal Airport, faaCode, 5R4]
Generated description
5R4 is the FAA location identifier for Foley Municipal Airport, a public-use airport serving Foley, Alabama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 5R4 Target entity description: 5R4 is the FAA location identifier for Foley Municipal Airport, a public-use airport serving Foley, Alabama.
-
A.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
B.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
C.
R5
R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
-
D.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
E.
R540
R540 is a regional road in South Africa that serves as a connector route in the Mpumalanga province, linking towns such as Lydenburg to surrounding areas.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e992d8e08190aaa9a04925f52ccc |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7959b6c2c819085b606280024c0f9 |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d799bd91e4819085fbd44d524aaf97 |
completed | April 9, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d79a6086fc8190ab8454a216dfda8c |
completed | April 9, 2026, 12:24 p.m. |
Created at: April 6, 2026, 12:04 p.m.