Triple
T4688862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlanda Central Station |
E103984
|
entity |
| Predicate | servesTerminal |
P20599
|
FINISHED |
| Object |
Terminal 5
Terminal 5 is the largest and main international passenger terminal at Stockholm Arlanda Airport in Sweden.
|
E125268
|
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: Terminal 5 | Statement: [Arlanda Central Station, servesTerminal, Terminal 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 5 Context triple: [Arlanda Central Station, servesTerminal, Terminal 5]
-
A.
Terminal 5
Terminal 5 is one of the passenger terminals at José Martí International Airport in Havana, Cuba, serving specific airlines and routes.
-
B.
Terminal 5
Terminal 5 is a major, modern passenger terminal at London Heathrow Airport primarily serving British Airways and Iberia flights.
-
C.
Terminal 5
Terminal 5 is the international terminal at Chicago O'Hare International Airport, serving most of the airport’s non-domestic and many foreign-flag carriers.
-
D.
Terminal 5
Terminal 5 is a major passenger terminal at John F. Kennedy International Airport in New York City, known for serving as the primary hub for JetBlue Airways.
-
E.
Terminal 5
Terminal 5 is a dedicated passenger terminal at Rome’s Leonardo da Vinci–Fiumicino Airport, primarily used for certain international and long-haul flights.
- 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: Terminal 5 Triple: [Arlanda Central Station, servesTerminal, Terminal 5]
Generated description
Terminal 5 is the largest and main international passenger terminal at Stockholm Arlanda Airport in Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terminal 5 Target entity description: Terminal 5 is the largest and main international passenger terminal at Stockholm Arlanda Airport in Sweden.
-
A.
Terminal 5
chosen
Terminal 5 is the main international passenger terminal at Stockholm Arlanda Airport, handling a large share of the airport’s long-haul and major European flights.
-
B.
Terminal 5
Terminal 5 is a dedicated passenger terminal at Rome’s Leonardo da Vinci–Fiumicino Airport, primarily used for certain international and long-haul flights.
-
C.
Terminal 5
Terminal 5 is a major, modern passenger terminal at London Heathrow Airport primarily serving British Airways and Iberia flights.
-
D.
Terminal 5
Terminal 5 is a passenger terminal facility at Mehrabad International Airport in Tehran, Iran.
-
E.
Terminal 5
Terminal 5 is the international terminal at Chicago O'Hare International Airport, serving most of the airport’s non-domestic and many foreign-flag carriers.
- F. None of above.
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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6399621881909aa8ffb1c27284e9 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67bb17e0819099a6d4f3ca54f616 |
completed | March 21, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69be6bd61d7c819083c7d8cf9cb774d2 |
completed | March 21, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6c2f99788190a8e80bb95fe08726 |
completed | March 21, 2026, 10 a.m. |
Created at: March 20, 2026, 1:16 p.m.