Triple
T8374652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saar |
E197544
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Sarre (French)
Sarre is the French name for the Saar region of western Germany, historically known for its coal industry and strategic location along the French-German border.
|
E729649
|
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: Sarre (French) | Statement: [Saar, hasNameInLanguage, Sarre (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarre (French) Context triple: [Saar, hasNameInLanguage, Sarre (French)]
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
-
C.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
D.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
-
E.
French Hainaut
French Hainaut is the western, French-speaking portion of the historic Hainaut region, now located in northern France near the Belgian border.
- 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: Sarre (French) Triple: [Saar, hasNameInLanguage, Sarre (French)]
Generated description
Sarre is the French name for the Saar region of western Germany, historically known for its coal industry and strategic location along the French-German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarre (French) Target entity description: Sarre is the French name for the Saar region of western Germany, historically known for its coal industry and strategic location along the French-German border.
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
-
C.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
D.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
-
E.
French Hainaut
French Hainaut is the western, French-speaking portion of the historic Hainaut region, now located in northern France near the Belgian border.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a996ec819083ce2607c0cdab7f |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7e7e7ac819084e82a98c4c1249e |
completed | April 2, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69cdebf944008190b7e758ac59257e22 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdeccedf4081909cab853ee1ff1b82 |
completed | April 2, 2026, 4:13 a.m. |
Created at: March 30, 2026, 6:01 p.m.