Triple
T22021561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Dunkirk |
E543857
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grande-Synthe
Grande-Synthe is a commune in northern France near Dunkirk, known for its industrial character and for hosting a large migrant camp in the 2010s.
|
E1514085
|
NE FINISHED |
How this triple was built (4 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: Grande-Synthe | Statement: [Arrondissement of Dunkirk, contains, Grande-Synthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grande-Synthe Context triple: [Arrondissement of Dunkirk, contains, Grande-Synthe]
-
A.
Gouët
Gouët is a river in the Côtes-d'Armor department of Brittany in northwestern France.
-
B.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
-
C.
La Tranche-sur-Mer
La Tranche-sur-Mer is a seaside resort town on France’s Atlantic coast, known for its sandy beaches and water sports.
-
D.
De Marne
De Marne was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and coastal location along the Wadden Sea.
-
E.
La Cambe
La Cambe is a commune in the Calvados department of Normandy in northwestern France, known for its proximity to major World War II sites including a large German war cemetery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grande-Synthe Triple: [Arrondissement of Dunkirk, contains, Grande-Synthe]
Generated description
Grande-Synthe is a commune in northern France near Dunkirk, known for its industrial character and for hosting a large migrant camp in the 2010s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grande-Synthe Target entity description: Grande-Synthe is a commune in northern France near Dunkirk, known for its industrial character and for hosting a large migrant camp in the 2010s.
-
A.
Gouët
Gouët is a river in the Côtes-d'Armor department of Brittany in northwestern France.
-
B.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
-
C.
La Tranche-sur-Mer
La Tranche-sur-Mer is a seaside resort town on France’s Atlantic coast, known for its sandy beaches and water sports.
-
D.
De Marne
De Marne was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and coastal location along the Wadden Sea.
-
E.
La Cambe
La Cambe is a commune in the Calvados department of Normandy in northwestern France, known for its proximity to major World War II sites including a large German war cemetery.
- F. None of above. chosen
Provenance (5 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a738527b481908b8f5aeb7d4cf5c7 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a745e534881909a681b9f2234afa5 |
completed | May 18, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7857e6dc819088b592cdff7d4cf3 |
completed | May 18, 2026, 2:24 a.m. |
Created at: April 16, 2026, 8:23 p.m.