Triple
T9610382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauerland |
E232082
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Biggesee
Biggesee is a large artificial reservoir and popular recreational lake in Germany’s Sauerland region, known for water sports, camping, and scenic hiking areas.
|
E810109
|
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: Biggesee | Statement: [Sauerland, contains, Biggesee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biggesee Context triple: [Sauerland, contains, Biggesee]
-
A.
Brobenah
Brobenah is a rural locality within the Leeton Shire area of New South Wales, Australia.
-
B.
Innisfil
Innisfil is a growing town in central Ontario, Canada, located on the western shore of Lake Simcoe and known for its mix of rural landscapes, residential communities, and recreational waterfront.
-
C.
Eging am See
Eging am See is a small Bavarian town in southeastern Germany known for its scenic lakeside setting and proximity to the Bavarian Forest.
-
D.
Cierva Cove
Cierva Cove is a scenic bay on the west coast of the Antarctic Peninsula, known for its ice-filled waters, abundant wildlife, and surrounding glaciers.
-
E.
Drongan
Drongan is a small village in East Ayrshire, Scotland, historically associated with coal mining and rural community life.
- 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: Biggesee Triple: [Sauerland, contains, Biggesee]
Generated description
Biggesee is a large artificial reservoir and popular recreational lake in Germany’s Sauerland region, known for water sports, camping, and scenic hiking areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biggesee Target entity description: Biggesee is a large artificial reservoir and popular recreational lake in Germany’s Sauerland region, known for water sports, camping, and scenic hiking areas.
-
A.
Brobenah
Brobenah is a rural locality within the Leeton Shire area of New South Wales, Australia.
-
B.
Innisfil
Innisfil is a growing town in central Ontario, Canada, located on the western shore of Lake Simcoe and known for its mix of rural landscapes, residential communities, and recreational waterfront.
-
C.
Eging am See
Eging am See is a small Bavarian town in southeastern Germany known for its scenic lakeside setting and proximity to the Bavarian Forest.
-
D.
Cierva Cove
Cierva Cove is a scenic bay on the west coast of the Antarctic Peninsula, known for its ice-filled waters, abundant wildlife, and surrounding glaciers.
-
E.
Drongan
Drongan is a small village in East Ayrshire, Scotland, historically associated with coal mining and rural community life.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a85d4c881909ccab2e972d97e68 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d179491ecc8190a72be68cc5f572b2 |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17a5df01081909f20c4a722cef83d |
completed | April 4, 2026, 8:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17adb55648190b01060ade60b0fde |
completed | April 4, 2026, 8:55 p.m. |
Created at: March 30, 2026, 8:08 p.m.