Triple
T29051840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Salisbury |
E735278
|
entity |
| Predicate | hasAirportWithin |
P40417
|
FINISHED |
| Object |
Parafield Airport
Parafield Airport is a major general aviation and pilot training airport serving the northern suburbs of Adelaide in South Australia.
|
E1872802
|
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: Parafield Airport | Statement: [City of Salisbury, hasAirportWithin, Parafield 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: Parafield Airport Triple: [City of Salisbury, hasAirportWithin, Parafield Airport]
Generated description
Parafield Airport is a major general aviation and pilot training airport serving the northern suburbs of Adelaide in South Australia.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirportWithin Context triple: [City of Salisbury, hasAirportWithin, Parafield Airport]
-
A.
hasAirportWithinJurisdiction
Indicates that a governing authority or administrative region has legal or administrative control over an airport located within its boundaries.
-
B.
hasAirportAccessTo
Indicates that one location or entity has direct access to another via an airport connection or service.
-
C.
airportLocatedWithin
chosen
Indicates that an airport is geographically situated inside the boundaries of a specified area or region.
-
D.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional airport.
-
E.
basedInAirport
Indicates that an entity has its primary location, operations, or headquarters situated at a specific airport.
- F. None of above.
Provenance (6 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a260bfbd67c8190944af3cc0eb77d6a |
completed | June 8, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a26103b50948190a67b288cf9f474ce |
completed | June 8, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a261bab40048190b31f5b12454bedbf |
completed | June 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 10:08 a.m.