Triple
T19335262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giessen district |
E483605
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wettenberg
Wettenberg is a municipality in the German state of Hesse, located near the city of Gießen and known for its mix of rural character and proximity to urban centers.
|
E1373799
|
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: Wettenberg | Statement: [Giessen district, contains, Wettenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wettenberg Context triple: [Giessen district, contains, Wettenberg]
-
A.
Wiesenberg
Wiesenberg is a town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of pianist Alfred Brendel.
-
B.
Mühleberg
Mühleberg is a municipality in the canton of Bern, Switzerland, known for its former nuclear power plant and its location along the Aare River.
-
C.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
-
D.
Burgwald
Burgwald is a low mountain range in the German state of Hesse, characterized by extensive forests and gently rolling hills.
-
E.
Burgwald
Burgwald is a small settlement in the German region of Westphalia, known for its rural character and proximity to forested landscapes.
- 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: Wettenberg Triple: [Giessen district, contains, Wettenberg]
Generated description
Wettenberg is a municipality in the German state of Hesse, located near the city of Gießen and known for its mix of rural character and proximity to urban centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wettenberg Target entity description: Wettenberg is a municipality in the German state of Hesse, located near the city of Gießen and known for its mix of rural character and proximity to urban centers.
-
A.
Wiesenberg
Wiesenberg is a town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of pianist Alfred Brendel.
-
B.
Mühleberg
Mühleberg is a municipality in the canton of Bern, Switzerland, known for its former nuclear power plant and its location along the Aare River.
-
C.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
-
D.
Burgwald
Burgwald is a low mountain range in the German state of Hesse, characterized by extensive forests and gently rolling hills.
-
E.
Burgwald
Burgwald is a small settlement in the German region of Westphalia, known for its rural character and proximity to forested landscapes.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b73a9ac8190aef80f735f2d46bf |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072d79ae348190a078fb5441c6466b |
completed | May 15, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e930e948190ac19fa2b81639922 |
completed | May 15, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:33 p.m.