Triple
T2464943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edinburgh Airport |
E55224
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 06/24
Runway 06/24 is a principal paved runway at Edinburgh Airport used for most commercial flight operations.
|
E372217
|
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: Runway 06/24 | Statement: [Edinburgh Airport, hasRunway, Runway 06/24]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 06/24 Context triple: [Edinburgh Airport, hasRunway, Runway 06/24]
-
A.
Runway 06/24
Runway 06/24 is one of the primary paved runways used for aircraft takeoffs and landings at Paris Orly Airport in France.
-
B.
Runway 06/24
Runway 06/24 is a principal paved runway at Havana’s José Martí International Airport (Rancho-Boyeros), used for handling commercial air traffic aligned roughly northeast–southwest.
-
C.
Runway 06/24
Runway 06/24 is a principal runway at Istanbul’s Sabiha Gökçen International Airport, used for handling both domestic and international air traffic.
-
D.
Runway 06R/24L
Runway 06R/24L is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
-
E.
Runway 06R/24L
Runway 06R/24L is one of the primary paved runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
- 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: Runway 06/24 Triple: [Edinburgh Airport, hasRunway, Runway 06/24]
Generated description
Runway 06/24 is a principal paved runway at Edinburgh Airport used for most commercial flight operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 06/24 Target entity description: Runway 06/24 is a principal paved runway at Edinburgh Airport used for most commercial flight operations.
-
A.
Runway 06/24
Runway 06/24 is one of the primary paved runways used for aircraft takeoffs and landings at Paris Orly Airport in France.
-
B.
Runway 06/24
Runway 06/24 is a principal paved runway at Havana’s José Martí International Airport (Rancho-Boyeros), used for handling commercial air traffic aligned roughly northeast–southwest.
-
C.
Runway 06/24
Runway 06/24 is a principal runway at Istanbul’s Sabiha Gökçen International Airport, used for handling both domestic and international air traffic.
-
D.
Runway 06R/24L
Runway 06R/24L is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
-
E.
Runway 06R/24L
Runway 06R/24L is one of the primary paved runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1216f44819094c46ae7c2c1e394 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402a702a081909319ba32990fa010 |
completed | March 13, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_69b40335a05c8190b51414f284bd6429 |
completed | March 13, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b40a6bd4888190a26989e5f6770e2c |
completed | March 13, 2026, 1 p.m. |
Created at: March 6, 2026, 9:44 p.m.