Triple
T6522637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gendarmenmarkt |
E151220
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Linden-Markt
Linden-Markt was the original name of Berlin’s historic Gendarmenmarkt square, now renowned for its grand architecture and cultural significance.
|
E606063
|
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: Linden-Markt | Statement: [Gendarmenmarkt, originalName, Linden-Markt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden-Markt Context triple: [Gendarmenmarkt, originalName, Linden-Markt]
-
A.
Ochsenmarkt
Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
-
B.
Kohlmarkt
Kohlmarkt is a historic and upscale shopping street in Vienna’s city center, known for its luxury boutiques and elegant architecture.
-
C.
Pützchens Markt
Pützchens Markt is a large, traditional annual funfair in Bonn, Germany, known for its historic origins and extensive rides, stalls, and attractions.
-
D.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
-
E.
Marktgasse
Marktgasse is a central historic street in Bern, Switzerland, known for its arcaded buildings, shops, and proximity to landmarks such as the Käfigturm.
- 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: Linden-Markt Triple: [Gendarmenmarkt, originalName, Linden-Markt]
Generated description
Linden-Markt was the original name of Berlin’s historic Gendarmenmarkt square, now renowned for its grand architecture and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linden-Markt Target entity description: Linden-Markt was the original name of Berlin’s historic Gendarmenmarkt square, now renowned for its grand architecture and cultural significance.
-
A.
Ochsenmarkt
Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
-
B.
Kohlmarkt
Kohlmarkt is a historic and upscale shopping street in Vienna’s city center, known for its luxury boutiques and elegant architecture.
-
C.
Pützchens Markt
Pützchens Markt is a large, traditional annual funfair in Bonn, Germany, known for its historic origins and extensive rides, stalls, and attractions.
-
D.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
-
E.
Marktgasse
Marktgasse is a central historic street in Bern, Switzerland, known for its arcaded buildings, shops, and proximity to landmarks such as the Käfigturm.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5204e78819082bf991c2ece09df |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6aba9688190ada4f921768e314e |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d830ed6c8190a39126d97a5246d3 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:45 p.m.