Triple
T15937033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donaustadt |
E386464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lobau
Lobau is a large floodplain and protected natural reserve along the Danube in Vienna, known for its wetlands, biodiversity, and recreational value.
|
E1185591
|
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: Lobau | Statement: [Donaustadt, contains, Lobau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lobau Context triple: [Donaustadt, contains, Lobau]
-
A.
Ruwer
Ruwer is a small wine-growing region in Germany’s Mosel area, noted for its cool climate and production of light, crisp white wines.
-
B.
La Bureba
La Bureba is a historical and agricultural comarca in northern Spain, known for its rolling plains and strategic location within the Province of Burgos in Castile and León.
-
C.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
D.
Nahe
Nahe is a river in western Germany, known for flowing through the Nahe wine region before joining the Rhine.
-
E.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
- 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: Lobau Triple: [Donaustadt, contains, Lobau]
Generated description
Lobau is a large floodplain and protected natural reserve along the Danube in Vienna, known for its wetlands, biodiversity, and recreational value.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lobau Target entity description: Lobau is a large floodplain and protected natural reserve along the Danube in Vienna, known for its wetlands, biodiversity, and recreational value.
-
A.
Ruwer
Ruwer is a small wine-growing region in Germany’s Mosel area, noted for its cool climate and production of light, crisp white wines.
-
B.
La Bureba
La Bureba is a historical and agricultural comarca in northern Spain, known for its rolling plains and strategic location within the Province of Burgos in Castile and León.
-
C.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
D.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
-
E.
Nahe
Nahe is a river in western Germany, known for flowing through the Nahe wine region before joining the Rhine.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ab7f548190b2d1aafa0e6d2c24 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7455c48190bfad24eb8905426d |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf50d5fc8190a045846f046e04cf |
completed | May 9, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfb1ed7c81908771dedce172707a |
completed | May 9, 2026, 11:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.