Triple
T12448326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southampton Airport |
E297459
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | AGS Airports |
E225786
|
NE FINISHED |
How this triple was built (2 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: AGS Airports | Statement: [Southampton Airport, operator, AGS Airports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGS Airports Context triple: [Southampton Airport, operator, AGS Airports]
-
A.
AGS Airports
chosen
AGS Airports is a UK-based airport management company that owns and operates several regional airports in Scotland and England.
-
B.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
C.
Airport
"Airport" is the musical score composed by Alfred Newman for the 1970 disaster film of the same name, noted for its dramatic orchestral themes that underscore the movie’s tension and romance.
-
D.
Airport
"Airport" is a 1970 American disaster-drama film, based on Arthur Hailey's novel, that helped launch the popular 1970s disaster movie genre.
-
E.
Airports of Regions
Airports of Regions is a Russian airport management company that operates and develops several regional airports across Russia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.