Triple
T4721509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venice Marco Polo Airport |
E104776
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 04R/22L
Runway 04R/22L is one of the primary paved runways used for aircraft takeoffs and landings at Venice Marco Polo Airport in Italy.
|
E575012
|
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 04R/22L | Statement: [Venice Marco Polo Airport, hasRunway, Runway 04R/22L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 04R/22L Context triple: [Venice Marco Polo Airport, hasRunway, Runway 04R/22L]
-
A.
Runway 04R/22L
Runway 04R/22L is one of the main parallel runways at Nice Côte d’Azur Airport, serving commercial air traffic on the French Riviera.
-
B.
Runway 04L/22R
Runway 04L/22R is one of the main parallel runways at Nice Côte d’Azur Airport, serving commercial air traffic on the French Riviera.
-
C.
Runway 04L/22R
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
-
D.
Runway 04L/22R
Runway 04L/22R is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling high volumes of commercial air traffic.
-
E.
Runway 4R/22L
Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial 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 04R/22L Triple: [Venice Marco Polo Airport, hasRunway, Runway 04R/22L]
Generated description
Runway 04R/22L is one of the primary paved runways used for aircraft takeoffs and landings at Venice Marco Polo Airport in Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 04R/22L Target entity description: Runway 04R/22L is one of the primary paved runways used for aircraft takeoffs and landings at Venice Marco Polo Airport in Italy.
-
A.
Runway 04R/22L
Runway 04R/22L is one of the main parallel runways at Nice Côte d’Azur Airport, serving commercial air traffic on the French Riviera.
-
B.
Runway 04L/22R
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
-
C.
Runway 04L/22R
Runway 04L/22R is one of the main parallel runways at Nice Côte d’Azur Airport, serving commercial air traffic on the French Riviera.
-
D.
Runway 04L/22R
Runway 04L/22R is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling high volumes of commercial air traffic.
-
E.
Runway 4R/22L
Runway 4R/22L is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling a significant share of the airport’s takeoff and landing 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642a1a808190afeefc9d65e6c539 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e581e94819086313b9d3a40b159 |
completed | March 23, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69c1e023cfd0819089cb5727c673f098 |
completed | March 24, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e07df8388190ba0ed8879a4ca2ee |
completed | March 24, 2026, 12:53 a.m. |
Created at: March 20, 2026, 1:18 p.m.