Triple
T2628563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauhava Air Base |
E59178
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 17/35
Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
|
E380073
|
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 17/35 | Statement: [Kauhava Air Base, hasRunway, Runway 17/35]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 17/35 Context triple: [Kauhava Air Base, hasRunway, Runway 17/35]
-
A.
Runway 17/35
Runway 17/35 is a primary paved runway at Corvallis Municipal Airport in Oregon, used for general aviation and regional air traffic operations.
-
B.
Runway 17/35
Runway 17/35 is a primary paved runway at Pueblo Memorial Airport in Colorado, used for both general aviation and military training operations.
-
C.
Runway 17/35
Runway 17/35 is a primary paved runway used for aircraft takeoffs and landings at Ministro Pistarini International Airport near Buenos Aires, Argentina.
-
D.
Runway 15/33
Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
-
E.
Runway 15/33
Runway 15/33 is one of the primary paved runways at Martha's Vineyard Airport, used for handling regional and general aviation 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 17/35 Triple: [Kauhava Air Base, hasRunway, Runway 17/35]
Generated description
Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 17/35 Target entity description: Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
-
A.
Runway 17/35
Runway 17/35 is a primary paved runway at Corvallis Municipal Airport in Oregon, used for general aviation and regional air traffic operations.
-
B.
Runway 17/35
Runway 17/35 is a primary paved runway at Pueblo Memorial Airport in Colorado, used for both general aviation and military training operations.
-
C.
Runway 17/35
Runway 17/35 is a primary paved runway used for aircraft takeoffs and landings at Ministro Pistarini International Airport near Buenos Aires, Argentina.
-
D.
Runway 15/33
Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
-
E.
Runway 15/33
Runway 15/33 is one of the primary paved runways at Martha's Vineyard Airport, used for handling regional and general aviation 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c2e3d88190a972f58356f282cc |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c34fb7d881908d45f96f621d26ad |
completed | March 14, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69b4c713c3888190bfcdf5fe9b3969c2 |
completed | March 14, 2026, 2:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c7b31e648190b9b8e1f761163035 |
completed | March 14, 2026, 2:28 a.m. |
Created at: March 6, 2026, 9:50 p.m.