Triple
T1780880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbus Helicopters |
E39286
|
entity |
| Predicate | hasManufacturingFacility |
P25392
|
FINISHED |
| Object | Marignane, France |
E199900
|
NE FINISHED |
How this triple was built (3 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, France | Statement: [Airbus Helicopters, hasManufacturingFacility, Marignane, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marignane, France Context triple: [Airbus Helicopters, hasManufacturingFacility, Marignane, France]
-
A.
Marignane, France
chosen
Marignane, France is a commune in the Bouches-du-Rhône department in southern France, known as a major hub of the aerospace and helicopter industry.
-
B.
Saint-Raphaël, Var, France
Saint-Raphaël is a Mediterranean seaside resort town on the French Riviera in the Var department of southeastern France, known for its beaches, coastal scenery, and Belle Époque architecture.
-
C.
Saintes-Maries-de-la-Mer
Saintes-Maries-de-la-Mer is a coastal town in southern France known as a pilgrimage site and seaside resort at the edge of the Camargue wetlands.
-
D.
Pontivy, France
Pontivy is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval and Napoleonic heritage along the Blavet River.
-
E.
Aubagne, France
Aubagne, France is a town in the Provence-Alpes-Côte d'Azur region near Marseille, known for its military significance, traditional ceramics, and as the birthplace of writer and filmmaker Marcel Pagnol.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManufacturingFacility Context triple: [Airbus Helicopters, hasManufacturingFacility, Marignane, France]
-
A.
mainManufacturingSite
Indicates the primary location where an entity’s products are manufactured or produced.
-
B.
hasIndustrialPlant
chosen
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
C.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
D.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
hasMajorProductionSystem
Indicates that an entity primarily operates, utilizes, or is characterized by a particular major production system.
- F. None of above.
Provenance (4 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5cbefec8190940cf2a4f692394e |
completed | March 8, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.