Triple
T10000949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pápa Air Base |
E197322
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 16L/34R
Runway 16L/34R is a primary paved runway at Pápa Air Base in Hungary, used for military and strategic airlift operations.
|
E858738
|
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 16L/34R | Statement: [Pápa Air Base, hasRunway, Runway 16L/34R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 16L/34R Context triple: [Pápa Air Base, hasRunway, Runway 16L/34R]
-
A.
Runway 16L/34R
Runway 16L/34R is a primary paved runway at Reno–Tahoe International Airport used for commercial and general aviation takeoffs and landings.
-
B.
Runway 16L/34R
Runway 16L/34R is a primary paved runway used for aircraft takeoffs and landings at Jackson–Medgar Wiley Evers International Airport in Mississippi.
-
C.
Runway 16L/34R
Runway 16L/34R is one of the primary paved runways used for aircraft takeoffs and landings at King Fahd International Airport in Saudi Arabia.
-
D.
Runway 16L/34R
Runway 16L/34R is a primary paved runway at Yelizovo Airport in Russia’s Kamchatka region, used for handling both domestic and international air traffic.
-
E.
Runway 16L/34R
Runway 16L/34R is a primary paved runway at King Abdulaziz International Airport in Jeddah, Saudi Arabia, used for handling commercial air traffic 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 16L/34R Triple: [Pápa Air Base, hasRunway, Runway 16L/34R]
Generated description
Runway 16L/34R is a primary paved runway at Pápa Air Base in Hungary, used for military and strategic airlift operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 16L/34R Target entity description: Runway 16L/34R is a primary paved runway at Pápa Air Base in Hungary, used for military and strategic airlift operations.
-
A.
Runway 16L/34R
Runway 16L/34R is one of the primary paved runways at Narita International Airport in Japan, used for handling a mix of international passenger and cargo flights.
-
B.
Runway 16L/34R
Runway 16L/34R is one of the primary paved runways at Tokyo International Airport (Haneda), used for both domestic and international air traffic operations.
-
C.
Runway 16L/34R
Runway 16L/34R is a primary paved runway at Sacramento International Airport used for commercial and general aviation takeoffs and landings.
-
D.
Runway 16L/34R
Runway 16L/34R is a primary paved runway at Yelizovo Airport in Russia’s Kamchatka region, used for handling both domestic and international air traffic.
-
E.
Runway 16L/34R
Runway 16L/34R is one of the primary paved runways used for aircraft takeoffs and landings at King Fahd International Airport in Saudi Arabia.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8f50888190b2f1c5240cb58e4f |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794653a948190899e60d18446213a |
completed | April 9, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69d7989cc318819083f325f4b223cf71 |
completed | April 9, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d799917ab881909a947ad8059652c6 |
completed | April 9, 2026, 12:20 p.m. |
Created at: March 30, 2026, 8:51 p.m.