Triple
T17351897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Airport |
E421832
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 14
Runway 14 is one of the designated landing and takeoff strips at Katherine Airport in Australia, serving regional air traffic operations.
|
E1276906
|
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 14 | Statement: [Katherine Airport, hasRunway, Runway 14]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 14 Context triple: [Katherine Airport, hasRunway, Runway 14]
-
A.
Runway 15
Runway 15 is a specific landing runway used for the touchdown of NASA’s Space Shuttle mission STS-121.
-
B.
Runway 18
Runway 18 is the southern runway end of Runway 18/36, designated for aircraft approaches and departures on a heading of approximately 180 degrees.
-
C.
Runway 17
Runway 17 is a designated Space Shuttle landing runway used for the touchdown of NASA missions such as STS-26.
-
D.
Runway 11
Runway 11 is a performance and event venue located within the AsiaWorld-Expo complex in Hong Kong.
-
E.
Runway 34
Runway 34 is one end of an airport runway aligned approximately toward the 340-degree magnetic heading, typically used for aircraft takeoffs and landings in that direction.
- 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 14 Triple: [Katherine Airport, hasRunway, Runway 14]
Generated description
Runway 14 is one of the designated landing and takeoff strips at Katherine Airport in Australia, serving regional air traffic operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 14 Target entity description: Runway 14 is one of the designated landing and takeoff strips at Katherine Airport in Australia, serving regional air traffic operations.
-
A.
Runway 15
Runway 15 is a specific landing runway used for the touchdown of NASA’s Space Shuttle mission STS-121.
-
B.
Runway 18
Runway 18 is the southern runway end of Runway 18/36, designated for aircraft approaches and departures on a heading of approximately 180 degrees.
-
C.
Runway 17
Runway 17 is a designated Space Shuttle landing runway used for the touchdown of NASA missions such as STS-26.
-
D.
Runway 11
Runway 11 is a performance and event venue located within the AsiaWorld-Expo complex in Hong Kong.
-
E.
Runway 34
Runway 34 is one end of an airport runway aligned approximately toward the 340-degree magnetic heading, typically used for aircraft takeoffs and landings in that direction.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2dae648190b7f3487919a446af |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddd3e74c81908d7818f784e2422f |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01e2e4e5e88190b6a0c3abae436105 |
completed | May 11, 2026, 2:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e33ac1c88190b53f1ec574e3724f |
completed | May 11, 2026, 2:10 p.m. |
Created at: April 10, 2026, 5:44 a.m.