Triple
T17421119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neumark region |
E423616
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object |
Friedeberg
Friedeberg is a historic town that served as one of the principal urban centers of the Neumark region in former Brandenburg, now located in western Poland.
|
E1295283
|
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: Friedeberg | Statement: [Neumark region, majorTown, Friedeberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedeberg Context triple: [Neumark region, majorTown, Friedeberg]
-
A.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
-
B.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
C.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
D.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
E.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
- 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: Friedeberg Triple: [Neumark region, majorTown, Friedeberg]
Generated description
Friedeberg is a historic town that served as one of the principal urban centers of the Neumark region in former Brandenburg, now located in western Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Friedeberg Target entity description: Friedeberg is a historic town that served as one of the principal urban centers of the Neumark region in former Brandenburg, now located in western Poland.
-
A.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
-
B.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
C.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
D.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
E.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b10f34c81908bd52d2d581da69a |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031db1ca588190aac180a4fd87383e |
completed | May 12, 2026, 12:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031e67a8bc81909f1076d175f5af2c |
completed | May 12, 2026, 12:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.