Triple
T3067592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hana Airport |
E62141
|
entity |
| Predicate | runway |
P1654
|
FINISHED |
| Object |
Runway 8/26
Runway 8/26 is the primary paved landing and takeoff strip serving Hana Airport on the island of Maui in Hawaii.
|
E437407
|
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 8/26 | Statement: [Hana Airport, runway, Runway 8/26]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 8/26 Context triple: [Hana Airport, runway, Runway 8/26]
-
A.
Runway 8/26
Runway 8/26 is one of the primary east–west runways at Phoenix Sky Harbor International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
B.
Runway 8/26
Runway 8/26 is a primary paved runway at Mojave Air and Space Port used for aircraft operations and aerospace testing activities.
-
C.
Runway 8R/26L
Runway 8R/26L is a primary paved runway used for aircraft takeoffs and landings at Pueblo Memorial Airport in Colorado.
-
D.
Runway 8L/26R
Runway 8L/26R is one of the primary parallel runways at Ontario International Airport in California, used for handling a mix of commercial, cargo, and general aviation traffic.
-
E.
Runway 8L/26R
Runway 8L/26R is a designated east–west runway at Long Beach Airport in California, used for aircraft takeoffs and landings.
- 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 8/26 Triple: [Hana Airport, runway, Runway 8/26]
Generated description
Runway 8/26 is the primary paved landing and takeoff strip serving Hana Airport on the island of Maui in Hawaii.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 8/26 Target entity description: Runway 8/26 is the primary paved landing and takeoff strip serving Hana Airport on the island of Maui in Hawaii.
-
A.
Runway 8/26
Runway 8/26 is a primary paved runway at Mojave Air and Space Port used for aircraft operations and aerospace testing activities.
-
B.
Runway 8/26
Runway 8/26 is one of the primary east–west runways at Phoenix Sky Harbor International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
C.
Runway 8R/26L
Runway 8R/26L is a primary paved runway used for aircraft takeoffs and landings at Pueblo Memorial Airport in Colorado.
-
D.
Runway 8L/26R
Runway 8L/26R is one of the primary parallel runways at Ontario International Airport in California, used for handling a mix of commercial, cargo, and general aviation traffic.
-
E.
Runway 8L/26R
Runway 8L/26R is a designated east–west runway at Long Beach Airport in California, used for aircraft takeoffs and landings.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f580e2488190bce70398502e11d4 |
completed | March 14, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69b5f75aa5a08190a5e8a9b56243ffeb |
completed | March 15, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7887cb08190bf498eefc3627bfa |
completed | March 15, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:02 p.m.