Triple
T21511708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Guebwiller |
E530739
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Bergholtzzell
Bergholtzzell is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
|
E1547151
|
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: Bergholtzzell | Statement: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Bergholtzzell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergholtzzell Context triple: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Bergholtzzell]
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
C.
Reitzenhagen
Reitzenhagen is a district of the spa town Bad Wildungen in the state of Hesse, Germany.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Wolpertshausen
Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
- 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: Bergholtzzell Triple: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Bergholtzzell]
Generated description
Bergholtzzell is a small 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: Bergholtzzell Target entity description: Bergholtzzell is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
C.
Reitzenhagen
Reitzenhagen is a district of the spa town Bad Wildungen in the state of Hesse, Germany.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Wolpertshausen
Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
- 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_6a0b5844337081908aef20e35afd6233 |
completed | May 18, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_6a0b6f5b85548190bd54f5a13dd27c5d |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b706cba28819091d40e7832e61f97 |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.