Triple
T13017826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Marseille Provence Airport) |
E322598
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Marignane |
E328434
|
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: Marignane | Statement: [Terminal 2 (Marseille Provence Airport), locatedIn, Marignane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marignane Context triple: [Terminal 2 (Marseille Provence Airport), locatedIn, Marignane]
-
A.
Marignane
chosen
Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
-
B.
Frontignan
Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
-
C.
Draguignan
Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
-
D.
Gardanne
Gardanne is a commune in southern France known for its industrial heritage and location between Marseille and Aix-en-Provence.
-
E.
Ramatuelle
Ramatuelle is a picturesque hilltop village and coastal commune on the French Riviera, known for its medieval charm and proximity to the beaches of the Saint-Tropez 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c116423881908d0de1e04904fbc3 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:51 p.m.