Triple
T16224998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauptwache |
E393821
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object |
Roßmarkt
Roßmarkt is a central square and busy commercial area in Frankfurt am Main, Germany, known for its shops, offices, and proximity to major city landmarks.
|
E1200792
|
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: Roßmarkt | Statement: [Hauptwache, connectsWith, Roßmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roßmarkt Context triple: [Hauptwache, connectsWith, Roßmarkt]
-
A.
Obermarkt
Obermarkt is the historic main market square of Freiberg, known for its medieval architecture and central role in the city's public life.
-
B.
Obermarkt
Obermarkt is a historic central market square in the city of Görlitz, Germany, known for its well-preserved architecture and role as a focal point of urban life.
-
C.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
D.
Heumarkt
Heumarkt is a historic square in Cologne’s Old Town known as a central marketplace and event space surrounded by notable landmarks, shops, and restaurants.
-
E.
Neuenmarkt
Neuenmarkt is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and proximity to the town of Kulmbach.
- 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: Roßmarkt Triple: [Hauptwache, connectsWith, Roßmarkt]
Generated description
Roßmarkt is a central square and busy commercial area in Frankfurt am Main, Germany, known for its shops, offices, and proximity to major city landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roßmarkt Target entity description: Roßmarkt is a central square and busy commercial area in Frankfurt am Main, Germany, known for its shops, offices, and proximity to major city landmarks.
-
A.
Obermarkt
Obermarkt is the historic main market square of Freiberg, known for its medieval architecture and central role in the city's public life.
-
B.
Obermarkt
Obermarkt is a historic central market square in the city of Görlitz, Germany, known for its well-preserved architecture and role as a focal point of urban life.
-
C.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
D.
Heumarkt
Heumarkt is a historic square in Cologne’s Old Town known as a central marketplace and event space surrounded by notable landmarks, shops, and restaurants.
-
E.
Neuenmarkt
Neuenmarkt is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and proximity to the town of Kulmbach.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d24f9688190b670cfeb73332293 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079c4184819091d3355a5afaeced |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0009f631e08190aae358edc9ffad6b |
completed | May 10, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a6de0488190ac72fb9eee9ec531 |
completed | May 10, 2026, 4:32 a.m. |
Created at: April 10, 2026, 5:03 a.m.