Triple
T22348606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rieste |
E552465
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Alfsee
Alfsee is an artificial recreational lake in Lower Saxony, Germany, popular for water sports, camping, and tourism.
|
E1535371
|
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: Alfsee | Statement: [Rieste, hasLake, Alfsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfsee Context triple: [Rieste, hasLake, Alfsee]
-
A.
Pfäffikersee
Pfäffikersee is a small lake in the Swiss canton of Zürich known for its scenic surroundings, nature reserves, and recreational opportunities such as hiking and birdwatching.
-
B.
Fichtelsee
Fichtelsee is a scenic artificial mountain lake in Germany’s Fichtelgebirge region, popular for hiking, swimming, and nature recreation.
-
C.
Ostorfer See
Ostorfer See is a lake in the German state of Mecklenburg-Vorpommern, forming part of the lake landscape around the city of Schwerin.
-
D.
Zeuthener See
Zeuthener See is a lake in Brandenburg, Germany, forming part of the Dahme river–lake system on the southeastern edge of Berlin and serving as a popular area for boating and watersports.
-
E.
Bostalsee
Bostalsee is a large artificial lake and popular recreational area in the Saarland region of Germany, known for water sports, camping, and tourism.
- 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: Alfsee Triple: [Rieste, hasLake, Alfsee]
Generated description
Alfsee is an artificial recreational lake in Lower Saxony, Germany, popular for water sports, camping, and tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfsee Target entity description: Alfsee is an artificial recreational lake in Lower Saxony, Germany, popular for water sports, camping, and tourism.
-
A.
Pfäffikersee
Pfäffikersee is a small lake in the Swiss canton of Zürich known for its scenic surroundings, nature reserves, and recreational opportunities such as hiking and birdwatching.
-
B.
Fichtelsee
Fichtelsee is a scenic artificial mountain lake in Germany’s Fichtelgebirge region, popular for hiking, swimming, and nature recreation.
-
C.
Ostorfer See
Ostorfer See is a lake in the German state of Mecklenburg-Vorpommern, forming part of the lake landscape around the city of Schwerin.
-
D.
Zeuthener See
Zeuthener See is a lake in Brandenburg, Germany, forming part of the Dahme river–lake system on the southeastern edge of Berlin and serving as a popular area for boating and watersports.
-
E.
Bostalsee
Bostalsee is a large artificial lake and popular recreational area in the Saarland region of Germany, known for water sports, camping, and tourism.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0d150c0819084820f6f574bb90f |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af22fdfdc8190bfebc32d3f1b6caf |
completed | May 18, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af29431648190a506d5e1a4fc9ce7 |
completed | May 18, 2026, 11:05 a.m. |
Created at: April 16, 2026, 8:43 p.m.