Triple
T2973500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart International Airport |
E80338
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SWF
SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
|
E316938
|
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: SWF | Statement: [Stewart International Airport, IATAcode, SWF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWF Context triple: [Stewart International Airport, IATAcode, SWF]
-
A.
Flash (software)
Flash (software) is a now-discontinued multimedia platform used for creating and displaying interactive web content, animations, and browser-based games and applications.
-
B.
Flash Video
Flash Video is a digital video format used primarily for delivering streaming video content over the web via Adobe Flash Player.
-
C.
AVI
AVI (Audio Video Interleave) is a multimedia container format developed by Microsoft for storing synchronized audio and video data.
-
D.
Tiff
Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
-
E.
TIF
TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
- 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: SWF Triple: [Stewart International Airport, IATAcode, SWF]
Generated description
SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SWF Target entity description: SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
-
A.
Flash (software)
Flash (software) is a now-discontinued multimedia platform used for creating and displaying interactive web content, animations, and browser-based games and applications.
-
B.
Flash Video
Flash Video is a digital video format used primarily for delivering streaming video content over the web via Adobe Flash Player.
-
C.
AVI
AVI (Audio Video Interleave) is a multimedia container format developed by Microsoft for storing synchronized audio and video data.
-
D.
Tiff
Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
-
E.
TIF
TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108e6a5448190ae32e6d2db8e7248 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10a9ba2248190b756cb92437f49ec |
completed | March 11, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10bb131e48190b0982db3a9656ddc |
completed | March 11, 2026, 6:29 a.m. |
Created at: March 8, 2026, 2:58 p.m.