Triple
T3468162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turin Airport |
E73186
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 18/36
Runway 18/36 is a primary paved runway at Turin Airport in Italy, used for both commercial and general aviation operations.
|
E447954
|
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 18/36 | Statement: [Turin Airport, hasRunway, Runway 18/36]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 18/36 Context triple: [Turin Airport, hasRunway, Runway 18/36]
-
A.
Runway 18/36
Runway 18/36 is a primary paved runway at Council Bluffs Municipal Airport used for general aviation takeoffs and landings.
-
B.
Runway 18/36
Runway 18/36 is a primary north–south oriented runway used for military aviation operations at RAAF Base Edinburgh in South Australia.
-
C.
Runway 18/36
Runway 18/36 is a primary military runway at Naval Air Station North Island in California, used for operations by U.S. Navy aircraft.
-
D.
Runway 16/34
Runway 16/34 is a primary paved runway at Beirut–Rafic Hariri International Airport used for both domestic and international flight operations.
-
E.
Runway 16/34
Runway 16/34 is a primary paved runway at Stewart International Airport in New York, used for handling a range of commercial and military aircraft operations.
- 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 18/36 Triple: [Turin Airport, hasRunway, Runway 18/36]
Generated description
Runway 18/36 is a primary paved runway at Turin Airport in Italy, used for both commercial and general aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 18/36 Target entity description: Runway 18/36 is a primary paved runway at Turin Airport in Italy, used for both commercial and general aviation operations.
-
A.
Runway 18/36
Runway 18/36 is a primary paved runway at Council Bluffs Municipal Airport used for general aviation takeoffs and landings.
-
B.
Runway 18/36
Runway 18/36 is a primary north–south oriented runway used for military aviation operations at RAAF Base Edinburgh in South Australia.
-
C.
Runway 18/36
Runway 18/36 is a primary military runway at Naval Air Station North Island in California, used for operations by U.S. Navy aircraft.
-
D.
Runway 16/34
Runway 16/34 is a primary paved runway at Beirut–Rafic Hariri International Airport used for both domestic and international flight operations.
-
E.
Runway 16/34
Runway 16/34 is a primary paved runway at Stewart International Airport in New York, used for handling a range of commercial and military aircraft operations.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f7470a0819093cd5755d1ca050c |
completed | March 20, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69bd71aecafc8190b0815d0308bbcaa9 |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd75f39d788190b9e394050c55f44d |
completed | March 20, 2026, 4:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.