Triple
T6202092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fokker F28 |
E138657
|
entity |
| Predicate | icaoAircraftTypeDesignator |
P16898
|
FINISHED |
| Object |
F28
F28 is the ICAO aircraft type designator for the Fokker F28 Fellowship, a short-range twin-jet airliner developed by Dutch manufacturer Fokker.
|
E576313
|
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: F28 | Statement: [Fokker F28, icaoAircraftTypeDesignator, F28]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F28 Context triple: [Fokker F28, icaoAircraftTypeDesignator, F28]
-
A.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
-
B.
F8
F8 is the IATA airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
C.
F24
F24 was the pennant number of HMS Maori, a British Tribal-class destroyer that served with distinction in the Royal Navy during World War II.
-
D.
F-2
F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
-
E.
FX2
FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
- 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: F28 Triple: [Fokker F28, icaoAircraftTypeDesignator, F28]
Generated description
F28 is the ICAO aircraft type designator for the Fokker F28 Fellowship, a short-range twin-jet airliner developed by Dutch manufacturer Fokker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F28 Target entity description: F28 is the ICAO aircraft type designator for the Fokker F28 Fellowship, a short-range twin-jet airliner developed by Dutch manufacturer Fokker.
-
A.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
-
B.
F8
F8 is the IATA airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
C.
F24
F24 was the pennant number of HMS Maori, a British Tribal-class destroyer that served with distinction in the Royal Navy during World War II.
-
D.
F-2
F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
-
E.
FX2
FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062559bcc81908942bb4d25fe8158 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f3bad2c8190b0ad0f2def3af9f7 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1be41b0c881909aff05430b23dc71 |
completed | March 23, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1bf50f6b881909e23e95d6ff0fd4d |
completed | March 23, 2026, 10:31 p.m. |
Created at: March 22, 2026, 4:20 p.m.