Triple
T15349259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fokker 50 |
E367006
|
entity |
| Predicate | ICAOTypeDesignator |
P16898
|
FINISHED |
| Object |
F50
F50 is the ICAO type designator for the Fokker 50, a twin-turboprop regional airliner developed by the Dutch manufacturer Fokker.
|
E1151887
|
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: F50 | Statement: [Fokker 50, ICAOTypeDesignator, F50]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F50 Context triple: [Fokker 50, ICAOTypeDesignator, F50]
-
A.
F51
F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
-
B.
M50
M50 is a major motorway in the United Kingdom that runs between the M5 near Tewkesbury and the A40 near Ross-on-Wye, serving as an important link in the regional road network.
-
C.
F5
F5 is a leading American technology company best known for its application delivery networking and security solutions that optimize and protect applications across cloud and on-premises environments.
-
D.
G50
G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
-
E.
F15
F15 is BMW’s internal model designation for the third-generation X5 luxury midsize SUV produced in the mid-2010s.
- 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: F50 Triple: [Fokker 50, ICAOTypeDesignator, F50]
Generated description
F50 is the ICAO type designator for the Fokker 50, a twin-turboprop regional airliner developed by the Dutch manufacturer Fokker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F50 Target entity description: F50 is the ICAO type designator for the Fokker 50, a twin-turboprop regional airliner developed by the Dutch manufacturer Fokker.
-
A.
F51
F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
-
B.
M50
M50 is a major motorway in the United Kingdom that runs between the M5 near Tewkesbury and the A40 near Ross-on-Wye, serving as an important link in the regional road network.
-
C.
F5
F5 is a leading American technology company best known for its application delivery networking and security solutions that optimize and protect applications across cloud and on-premises environments.
-
D.
G50
G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
-
E.
F15
F15 is BMW’s internal model designation for the third-generation X5 luxury midsize SUV produced in the mid-2010s.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff031869a481909911d251aa9ce3e8 |
completed | May 9, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03c0ebc081908b1a132256e9d004 |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:17 a.m.