Triple
T33757336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong FIR |
E865012
|
entity |
| Predicate | primaryRunwayReferenceAirport |
P206664
|
FINISHED |
| Object |
Runway 07R/25L at Hong Kong International Airport
Runway 07R/25L at Hong Kong International Airport is one of the airport’s main parallel runways, handling a high volume of international long-haul and regional traffic at this major Asian aviation hub.
|
E2066431
|
NE FINISHED |
How this triple was built (3 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 07R/25L at Hong Kong International Airport | Statement: [Hong Kong FIR, primaryRunwayReferenceAirport, Runway 07R/25L at Hong Kong International Airport]
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 07R/25L at Hong Kong International Airport Triple: [Hong Kong FIR, primaryRunwayReferenceAirport, Runway 07R/25L at Hong Kong International Airport]
Generated description
Runway 07R/25L at Hong Kong International Airport is one of the airport’s main parallel runways, handling a high volume of international long-haul and regional traffic at this major Asian aviation hub.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRunwayReferenceAirport Context triple: [Hong Kong FIR, primaryRunwayReferenceAirport, Runway 07R/25L at Hong Kong International Airport]
-
A.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
B.
primaryCivilAirportComponent
Indicates that one entity serves as the main civil airport component or facility associated with another entity.
-
C.
mainAccessAirport
Indicates that one location serves as the primary airport providing access to another place or region.
-
D.
primaryAirportManaged
Indicates that one entity is responsible for operating, overseeing, or administering another entity’s main or primary airport.
-
E.
parentAirport
Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
- F. None of above. chosen
Provenance (7 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a365c96fb948190ac8771fd503525ff |
completed | June 20, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_6a365d2c51808190aa3437c2aa4af4d0 |
completed | June 20, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a365de322208190b3fc9539d7a2b18b |
completed | June 20, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:45 a.m.