Triple
T2012507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glasgow Airport |
E43718
|
entity |
| Predicate | owner |
P347
|
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: [Glasgow Airport, owner, AGS Airports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGS Airports Context triple: [Glasgow Airport, owner, 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.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
D.
Rock Sound International Airport
Rock Sound International Airport is a public airport serving the Rock Sound area on the island of Eleuthera in the Bahamas, handling regional and domestic flights.
-
E.
Sky Harbor Airport
Sky Harbor Airport is a major international airport serving the Phoenix metropolitan area in Arizona and one of the busiest air travel hubs in the United States.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b2ed6c8190ad51f0af90db2a02 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe3480c8190add171121653fc8a |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:37 p.m.