Triple
T10136330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Saint-Omer |
E226863
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Clairmarais
Clairmarais is a small commune in northern France known for its marshlands and canals, situated near the town of Saint-Omer.
|
E843310
|
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: Clairmarais | Statement: [Arrondissement of Saint-Omer, contains, Clairmarais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clairmarais Context triple: [Arrondissement of Saint-Omer, contains, Clairmarais]
-
A.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
De La Motte
De La Motte is a French-origin surname historically associated with various notable figures, including early 20th-century American silent film actress Marguerite De La Motte.
-
D.
Gauthier
Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
-
E.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
- 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: Clairmarais Triple: [Arrondissement of Saint-Omer, contains, Clairmarais]
Generated description
Clairmarais is a small commune in northern France known for its marshlands and canals, situated near the town of Saint-Omer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clairmarais Target entity description: Clairmarais is a small commune in northern France known for its marshlands and canals, situated near the town of Saint-Omer.
-
A.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
De La Motte
De La Motte is a French-origin surname historically associated with various notable figures, including early 20th-century American silent film actress Marguerite De La Motte.
-
D.
Gauthier
Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
-
E.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde87fae288190bb4f13e1ae90f50a |
completed | April 2, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5e4664081908c1821006bd2f57f |
completed | April 5, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69d2e73e4d5081909f0068d3bed583d3 |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e7eea4d88190a2ec6d22a83934b3 |
completed | April 5, 2026, 10:53 p.m. |
Created at: March 30, 2026, 9:06 p.m.