Triple
T14859684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg Airport |
E349455
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Luxembourg Findel Airport |
E349455
|
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: Luxembourg Findel Airport | Statement: [Luxembourg Airport, alternativeName, Luxembourg Findel Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luxembourg Findel Airport Context triple: [Luxembourg Airport, alternativeName, Luxembourg Findel Airport]
-
A.
Luxembourg Airport
chosen
Luxembourg Airport is the main international airport of Luxembourg, serving as a key passenger and cargo hub for the country and the surrounding region.
-
B.
Liège Airport
Liège Airport is a major international cargo and passenger airport in eastern Belgium, known as one of Europe’s leading freight hubs.
-
C.
Strasbourg Airport
Strasbourg Airport is an international airport serving the city of Strasbourg and the surrounding Alsace region in northeastern France.
-
D.
Brussels Airport
Brussels Airport is the main international airport serving Brussels and one of Belgium’s busiest air transport hubs for passengers and cargo.
-
E.
Saarbrücken Airport
Saarbrücken Airport is a regional international airport in southwestern Germany serving the city of Saarbrücken and the surrounding Saarland area with passenger and charter flights.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650a43bc8190b836fe690d2a3c71 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.