Triple
T1338937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin Airport |
E28419
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 10L/28R
Runway 10L/28R is a primary east–west runway at Dublin Airport used for commercial aircraft takeoffs and landings.
|
E159727
|
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 10L/28R | Statement: [Dublin Airport, hasRunway, Runway 10L/28R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 10L/28R Context triple: [Dublin Airport, hasRunway, Runway 10L/28R]
-
A.
Runway 10L/28R
Runway 10L/28R is one of the primary parallel runways at San Francisco International Airport, used extensively for both arrivals and departures.
-
B.
Runway 10L/28R
Runway 10L/28R is a major east–west runway at Chicago O'Hare International Airport used for both arrivals and departures in the airport’s high-traffic operations.
-
C.
Runway 10R/28L
Runway 10R/28L is one of a pair of parallel runways at an airport, designated for operations in the 100° and 280° directions.
-
D.
Runway 18L/36R
Runway 18L/36R is a primary north–south runway used for commercial air traffic at Orlando International Airport in Orlando, Florida.
-
E.
Runway 14L/32R
Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation 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 10L/28R Triple: [Dublin Airport, hasRunway, Runway 10L/28R]
Generated description
Runway 10L/28R is a primary east–west runway at Dublin Airport used for commercial aircraft takeoffs and landings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 10L/28R Target entity description: Runway 10L/28R is a primary east–west runway at Dublin Airport used for commercial aircraft takeoffs and landings.
-
A.
Runway 10L/28R
Runway 10L/28R is one of the primary parallel runways at San Francisco International Airport, used extensively for both arrivals and departures.
-
B.
Runway 10L/28R
Runway 10L/28R is a major east–west runway at Chicago O'Hare International Airport used for both arrivals and departures in the airport’s high-traffic operations.
-
C.
Runway 10R/28L
Runway 10R/28L is one of a pair of parallel runways at an airport, designated for operations in the 100° and 280° directions.
-
D.
Runway 18L/36R
Runway 18L/36R is a primary north–south runway used for commercial air traffic at Orlando International Airport in Orlando, Florida.
-
E.
Runway 14L/32R
Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c21303c881908fef0b32831222fe |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde12d0dc81908a09c0221b8db3f6 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acde7990b4819082a1bcb50215d4f1 |
completed | March 8, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acdee2d71481908a735d5685693ca8 |
completed | March 8, 2026, 2:28 a.m. |
Created at: March 1, 2026, 7:56 p.m.