Triple
T1843505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Akrotiri |
E41230
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
AKT
AKT is the IATA airport code for RAF Akrotiri, a Royal Air Force station and military airbase located on the island of Cyprus.
|
E206022
|
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: AKT | Statement: [RAF Akrotiri, IATACode, AKT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AKT Context triple: [RAF Akrotiri, IATACode, AKT]
-
A.
AK
AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
-
B.
ACTIV
ACTIV is an off-road-oriented trim level of the Chevrolet Trailblazer that features rugged styling cues and enhanced capability for light adventure driving.
-
C.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
-
D.
Kahn
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
E.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
- 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: AKT Triple: [RAF Akrotiri, IATACode, AKT]
Generated description
AKT is the IATA airport code for RAF Akrotiri, a Royal Air Force station and military airbase located on the island of Cyprus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AKT Target entity description: AKT is the IATA airport code for RAF Akrotiri, a Royal Air Force station and military airbase located on the island of Cyprus.
-
A.
AK
AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
-
B.
ACTIV
ACTIV is an off-road-oriented trim level of the Chevrolet Trailblazer that features rugged styling cues and enhanced capability for light adventure driving.
-
C.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
-
D.
Kahn
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
E.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb04eb0748190b226f932e544925f |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9be1ef481909cd6f6975bf2165d |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaf1917c819090eac27de62494ca |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbba64588190aa0ebd2b6f67afa7 |
completed | March 8, 2026, 7:19 p.m. |
Created at: March 4, 2026, 7:33 p.m.