Triple
T14755146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landstraße |
E346710
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rochusmarkt
Rochusmarkt is a traditional open-air market in Vienna known for its fresh produce, food stalls, and neighborhood atmosphere.
|
E1117246
|
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: Rochusmarkt | Statement: [Landstraße, contains, Rochusmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochusmarkt Context triple: [Landstraße, contains, Rochusmarkt]
-
A.
Rathausmarkt
Rathausmarkt is the large central square in Hamburg that serves as the main public plaza in front of the city hall and a key venue for events, markets, and civic gatherings.
-
B.
Ochsenmarkt
Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
-
C.
Karmelitermarkt
Karmelitermarkt is a popular neighborhood market in Vienna known for its fresh produce, specialty foods, and lively café culture.
-
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.
Pützchens Markt
Pützchens Markt is a large, traditional annual funfair in Bonn, Germany, known for its historic origins and extensive rides, stalls, and attractions.
- 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: Rochusmarkt Triple: [Landstraße, contains, Rochusmarkt]
Generated description
Rochusmarkt is a traditional open-air market in Vienna known for its fresh produce, food stalls, and neighborhood atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rochusmarkt Target entity description: Rochusmarkt is a traditional open-air market in Vienna known for its fresh produce, food stalls, and neighborhood atmosphere.
-
A.
Rathausmarkt
Rathausmarkt is the large central square in Hamburg that serves as the main public plaza in front of the city hall and a key venue for events, markets, and civic gatherings.
-
B.
Ochsenmarkt
Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
-
C.
Karmelitermarkt
Karmelitermarkt is a popular neighborhood market in Vienna known for its fresh produce, specialty foods, and lively café culture.
-
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.
Pützchens Markt
Pützchens Markt is a large, traditional annual funfair in Bonn, Germany, known for its historic origins and extensive rides, stalls, and attractions.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9e1b8481909abea3daabe91302 |
completed | May 8, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69fdfe5f00b08190ba44acd2eed94333 |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff32e0a48190acc14ceccea3df17 |
completed | May 8, 2026, 3:20 p.m. |
Created at: April 10, 2026, 1:30 a.m.