Triple
T2218779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dugny |
E48091
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Le Bourget Airport |
E47142
|
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: Le Bourget Airport | Statement: [Dugny, near, Le Bourget Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Bourget Airport Context triple: [Dugny, near, Le Bourget Airport]
-
A.
Paris–Le Bourget Airport
chosen
Paris–Le Bourget Airport is a historic airport near Paris that now primarily serves business aviation and hosts the biennial Paris Air Show.
-
B.
Lyon–Saint-Exupéry Airport
Lyon–Saint-Exupéry Airport is a major international airport in eastern France serving the city of Lyon and the surrounding Auvergne-Rhône-Alpes region.
-
C.
Le Bourget Field
Le Bourget Field is a historic airfield near Paris, France, best known as the landing site of Charles Lindbergh’s pioneering solo nonstop transatlantic flight in 1927.
-
D.
Roland Garros Airport
Roland Garros Airport is the main international airport on the French island of Réunion in the Indian Ocean.
-
E.
Charles de Gaulle Airport
Charles de Gaulle Airport is the largest international airport in France and a major European aviation hub serving the Paris metropolitan area.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc011d50c8190b1c375cc633f8189 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7efdb7a08190b74e841279b59971 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:46 p.m.