Triple
T14948355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Chitose Airport |
E372725
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
01L/19R
01L/19R is one of the primary paved runways at New Chitose Airport in Hokkaido, Japan, used for handling commercial air traffic.
|
E1128455
|
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: 01L/19R | Statement: [New Chitose Airport, hasRunway, 01L/19R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 01L/19R Context triple: [New Chitose Airport, hasRunway, 01L/19R]
-
A.
09R/27L
09R/27L is a major east–west runway at Hartsfield–Jackson Atlanta International Airport used for high-volume commercial air traffic operations.
-
B.
4L/22R
4L/22R is one of the primary runways at Boston Logan International Airport, used for both arrivals and departures in alignment with prevailing wind directions.
-
C.
10L/28R
10L/28R is a primary east–west runway at Palm Beach International Airport used for both commercial and general aviation operations.
-
D.
10L/28R
10L/28R is a primary east–west runway at Port Columbus International Airport used for commercial aircraft operations.
-
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: 01L/19R Triple: [New Chitose Airport, hasRunway, 01L/19R]
Generated description
01L/19R is one of the primary paved runways at New Chitose Airport in Hokkaido, Japan, used for handling commercial air traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 01L/19R Target entity description: 01L/19R is one of the primary paved runways at New Chitose Airport in Hokkaido, Japan, used for handling commercial air traffic.
-
A.
09R/27L
09R/27L is a major east–west runway at Hartsfield–Jackson Atlanta International Airport used for high-volume commercial air traffic operations.
-
B.
4L/22R
4L/22R is one of the primary runways at Boston Logan International Airport, used for both arrivals and departures in alignment with prevailing wind directions.
-
C.
10L/28R
10L/28R is a primary east–west runway at Palm Beach International Airport used for both commercial and general aviation operations.
-
D.
10L/28R
10L/28R is a primary east–west runway at Port Columbus International Airport used for commercial aircraft operations.
-
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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e986dfc8190a5cf363dabe6bdef |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe82845b788190b1d7af425aa354d4 |
completed | May 9, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe832a4228819085ebb93e9fed00be |
completed | May 9, 2026, 12:43 a.m. |
Created at: April 10, 2026, 2:39 a.m.