Triple
T21511732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Guebwiller |
E530739
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Blodelsheim
Blodelsheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France.
|
E1494466
|
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: Blodelsheim | Statement: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Blodelsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blodelsheim Context triple: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Blodelsheim]
-
A.
Alesheim
Alesheim is a small rural municipality in the Bavarian region of southern Germany.
-
B.
Adelsheim
Adelsheim is a small town in the Neckar-Odenwald district of Baden-Württemberg in southwestern Germany.
-
C.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
D.
Bantzenheim
Bantzenheim is a commune in the Haut-Rhin department in the Grand Est region of northeastern France.
-
E.
Ergersheim
Ergersheim is a small municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
- 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: Blodelsheim Triple: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Blodelsheim]
Generated description
Blodelsheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blodelsheim Target entity description: Blodelsheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France.
-
A.
Alesheim
Alesheim is a small rural municipality in the Bavarian region of southern Germany.
-
B.
Adelsheim
Adelsheim is a small town in the Neckar-Odenwald district of Baden-Württemberg in southwestern Germany.
-
C.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
D.
Bantzenheim
Bantzenheim is a commune in the Haut-Rhin department in the Grand Est region of northeastern France.
-
E.
Ergersheim
Ergersheim is a small municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea863b18819080e3ff249b10ec28 |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f80e8a481908eeac470f5b93d64 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a103e85208190b70626ed1d623547 |
completed | May 17, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a10c8c5bc8190add0ee63eb338964 |
completed | May 17, 2026, 7:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.