Triple
T2843165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Logan International Airport |
E62516
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
4R/22L
4R/22L is a primary paved runway at Boston Logan International Airport used for commercial air traffic operations.
|
E303550
|
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: 4R/22L | Statement: [Boston Logan International Airport, hasRunway, 4R/22L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4R/22L Context triple: [Boston Logan International Airport, hasRunway, 4R/22L]
-
A.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
B.
12R/30L
12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
-
C.
10R/28L
10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
-
D.
R4
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
E.
13R/31L
13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of 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: 4R/22L Triple: [Boston Logan International Airport, hasRunway, 4R/22L]
Generated description
4R/22L is a primary paved runway at Boston Logan International Airport used for commercial air traffic operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 4R/22L Target entity description: 4R/22L is a primary paved runway at Boston Logan International Airport used for commercial air traffic operations.
-
A.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
B.
12R/30L
12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
-
C.
10R/28L
10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
-
D.
R4
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
E.
13R/31L
13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d570388190b4ed81ace605c6c3 |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afe9ba068881908727c82d5eddb974 |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00412e7448190898050f18f64ea9a |
completed | March 10, 2026, 11:44 a.m. |
Created at: March 6, 2026, 10:01 p.m.