Triple
T599678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxony |
E11465
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
|
E75799
|
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: Plauen | Statement: [Saxony, contains, Plauen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plauen Context triple: [Saxony, contains, Plauen]
-
A.
Sorbs
The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
-
B.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
C.
Breselenz
Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
-
D.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
-
E.
Gera
Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
- 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: Plauen Triple: [Saxony, contains, Plauen]
Generated description
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plauen Target entity description: Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
-
A.
Sorbs
The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
-
B.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
C.
Breselenz
Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
-
D.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
-
E.
Gera
Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d78c0f08190b83ad89062ccb0b9 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5238759c88190b1a960291c758447 |
completed | March 2, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69a524233d34819092c15fdc9d6b6411 |
completed | March 2, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a524a0b00c8190951d1e279226ef50 |
completed | March 2, 2026, 5:48 a.m. |
Created at: March 1, 2026, 7:35 p.m.