Triple
T382804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Bourget Field |
E8716
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Le Bourget |
E8716
|
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 | Statement: [Le Bourget Field, locatedIn, Le Bourget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Bourget Context triple: [Le Bourget Field, locatedIn, Le Bourget]
-
A.
Paris–Le Bourget Airport
Paris–Le Bourget Airport is a historic airport near Paris that now primarily serves business aviation and hosts the biennial Paris Air Show.
-
B.
Roissy-en-France
Roissy-en-France is a commune in the northeastern suburbs of Paris best known for hosting most of Charles de Gaulle Airport, France’s largest international air hub.
-
C.
Le Bourget Field
chosen
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.
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.
-
E.
La Défense
La Défense is a major high-rise business district just west of central Paris, known for its modern skyscrapers, corporate headquarters, and the Grande Arche monument.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fb0100fc8190819b977bb7a98d7f |
completed | March 1, 2026, 8:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.