Triple
T3774725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Mark |
E83280
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Altena
Altena is a town in western Germany’s North Rhine-Westphalia region, known for its historic hilltop castle and role in the industrial and cultural history of the Sauerland area.
|
E403773
|
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: Altena | Statement: [County of Mark, hasTown, Altena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altena Context triple: [County of Mark, hasTown, Altena]
-
A.
Fürstenwalde
Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
-
B.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
C.
Salzwedel
Salzwedel is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and as the birthplace of Jenny von Westphalen, the wife of Karl Marx.
-
D.
Hasselwerder
Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
-
E.
Genthin
Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
- 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: Altena Triple: [County of Mark, hasTown, Altena]
Generated description
Altena is a town in western Germany’s North Rhine-Westphalia region, known for its historic hilltop castle and role in the industrial and cultural history of the Sauerland area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altena Target entity description: Altena is a town in western Germany’s North Rhine-Westphalia region, known for its historic hilltop castle and role in the industrial and cultural history of the Sauerland area.
-
A.
Fürstenwalde
Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
-
B.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
C.
Salzwedel
Salzwedel is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and as the birthplace of Jenny von Westphalen, the wife of Karl Marx.
-
D.
Hasselwerder
Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
-
E.
Genthin
Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc594c50819099ab5ac1b82f61a6 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fde1998819088a4436f3ec7205a |
completed | March 14, 2026, 11 a.m. |
| NEDg | Description generation | batch_69b540c5ab7881908b7ebb0af2f9da46 |
completed | March 14, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5415e002881908343ae30b2f8a16c |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 8, 2026, 3:36 p.m.