Triple
T13114014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märkisch-Oderland |
E311046
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Seelow
Seelow is a small town in eastern Brandenburg, Germany, best known today as the administrative center of the Märkisch-Oderland district and for its proximity to the historic Seelow Heights battlefield of World War II.
|
E1148380
|
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: Seelow | Statement: [Märkisch-Oderland, capital, Seelow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seelow Context triple: [Märkisch-Oderland, capital, Seelow]
-
A.
Schkopau
Schkopau is a municipality in the Saalekreis district of Saxony-Anhalt, Germany, known for its large chemical industry complex.
-
B.
Teesdorf
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
-
C.
Degendorf
Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
-
D.
Lankwitz
Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
-
E.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
- 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: Seelow Triple: [Märkisch-Oderland, capital, Seelow]
Generated description
Seelow is a small town in eastern Brandenburg, Germany, best known today as the administrative center of the Märkisch-Oderland district and for its proximity to the historic Seelow Heights battlefield of World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seelow Target entity description: Seelow is a small town in eastern Brandenburg, Germany, best known today as the administrative center of the Märkisch-Oderland district and for its proximity to the historic Seelow Heights battlefield of World War II.
-
A.
Schkopau
Schkopau is a municipality in the Saalekreis district of Saxony-Anhalt, Germany, known for its large chemical industry complex.
-
B.
Teesdorf
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
-
C.
Degendorf
Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
-
D.
Lankwitz
Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
-
E.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5a0824819097e41163e3092b68 |
completed | May 9, 2026, 8:24 a.m. |
| NEDg | Description generation | batch_69fef17e1b8481908600e8f2f60ebe98 |
completed | May 9, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1e8e41481908f2c8ebe1b1036fa |
completed | May 9, 2026, 8:35 a.m. |
Created at: April 9, 2026, 9:06 p.m.