Triple
T599679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxony |
E11465
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
|
E76192
|
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: Pirna | Statement: [Saxony, contains, Pirna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pirna Context triple: [Saxony, contains, Pirna]
-
A.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
B.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
-
C.
Gera
Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
-
D.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
-
E.
Poprad River
The Poprad River is a mountain river in southern Poland and northeastern Slovakia, known for its scenic valley, spa towns, and role as part of the Polish-Slovak border.
- 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: Pirna Triple: [Saxony, contains, Pirna]
Generated description
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pirna Target entity description: Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
A.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
B.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
-
C.
Gera
Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
-
D.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
-
E.
Poprad River
The Poprad River is a mountain river in southern Poland and northeastern Slovakia, known for its scenic valley, spa towns, and role as part of the Polish-Slovak border.
- 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_69a52ea8dd8481909108a8873c5d49d5 |
completed | March 2, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69a52f45ed008190a22b24a1fd7da821 |
completed | March 2, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a52fa9fd808190a395fba40c96687c |
completed | March 2, 2026, 6:35 a.m. |
Created at: March 1, 2026, 7:35 p.m.