Triple
T11647130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube Canal area |
E276803
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Strandbar Herrmann
Strandbar Herrmann is a popular urban beach bar in Vienna known for its sandy riverside setting, deck chairs, and relaxed atmosphere along the Danube Canal.
|
E938861
|
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: Strandbar Herrmann | Statement: [Danube Canal area, hasAttraction, Strandbar Herrmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strandbar Herrmann Context triple: [Danube Canal area, hasAttraction, Strandbar Herrmann]
-
A.
Schollander
Schollander is the surname of Don Schollander, an American swimmer renowned for winning multiple Olympic gold medals in the 1960s.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
D.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
E.
Schiffhauer
Schiffhauer is a surname, likely a variant of the German family name "Schiff."
- 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: Strandbar Herrmann Triple: [Danube Canal area, hasAttraction, Strandbar Herrmann]
Generated description
Strandbar Herrmann is a popular urban beach bar in Vienna known for its sandy riverside setting, deck chairs, and relaxed atmosphere along the Danube Canal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strandbar Herrmann Target entity description: Strandbar Herrmann is a popular urban beach bar in Vienna known for its sandy riverside setting, deck chairs, and relaxed atmosphere along the Danube Canal.
-
A.
Schollander
Schollander is the surname of Don Schollander, an American swimmer renowned for winning multiple Olympic gold medals in the 1960s.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
D.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
E.
Schiffhauer
Schiffhauer is a surname, likely a variant of the German family name "Schiff."
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cc8bfc8190a063cc37de9596a9 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87f903c48190b9055ad4cfebb1e1 |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb314eef0819091a949bbfc820ee9 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9a79d348190bb3e15f0d37b9d57 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.