Triple
T129372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fürth |
E2619
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Gera
Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
|
E22181
|
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: Gera | Statement: [Fürth, hasTwinTown, Gera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gera Context triple: [Fürth, hasTwinTown, Gera]
-
A.
Leven
Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
-
B.
Hesse
Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main and its mix of urban centers, forests, and historic towns.
-
C.
Chemnitz River
The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
-
D.
Elbe
The Elbe is one of Central Europe's major rivers, flowing from the Czech Republic through Germany to the North Sea and serving as an important waterway for transport, industry, and agriculture.
-
E.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
- 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: Gera Triple: [Fürth, hasTwinTown, Gera]
Generated description
Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gera Target entity description: Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
-
A.
Leven
Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
-
B.
Hesse
Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main and its mix of urban centers, forests, and historic towns.
-
C.
Chemnitz River
The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
-
D.
Elbe
The Elbe is one of Central Europe's major rivers, flowing from the Czech Republic through Germany to the North Sea and serving as an important waterway for transport, industry, and agriculture.
-
E.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2576518e0819096b35d8af7a4d1bd |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2eb76c1b88190a36cfb803dc12af7 |
completed | Feb. 28, 2026, 1:19 p.m. |
| NEDg | Description generation | batch_69a2ec3f38f88190a1314f2cebf1e776 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2ecd7e33481908a075cfe532025c0 |
completed | Feb. 28, 2026, 1:25 p.m. |
Created at: Feb. 28, 2026, 2:30 a.m.