Triple
T16157080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauer River |
E392072
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Sauer
Sauer is a river in western Europe that flows through Luxembourg, Belgium, and Germany as a tributary of the Moselle.
|
E1197305
|
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: Sauer | Statement: [Sauer River, alsoKnownAs, Sauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sauer Context triple: [Sauer River, alsoKnownAs, Sauer]
-
A.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
B.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
C.
Sautter
Sautter is a surname, likely a spelling variant of "Sutter," borne by various individuals and families of European origin.
-
D.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
E.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
- 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: Sauer Triple: [Sauer River, alsoKnownAs, Sauer]
Generated description
Sauer is a river in western Europe that flows through Luxembourg, Belgium, and Germany as a tributary of the Moselle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sauer Target entity description: Sauer is a river in western Europe that flows through Luxembourg, Belgium, and Germany as a tributary of the Moselle.
-
A.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
B.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
C.
Sautter
Sautter is a surname, likely a spelling variant of "Sutter," borne by various individuals and families of European origin.
-
D.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
E.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5b57a48190b6fe21f1c63e1ba3 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b05a588190a44d1c922195a87b |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff87caefc8190836d690dfb2523f9 |
completed | May 10, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff98b3d7c8190bb284321d17f58e2 |
completed | May 10, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.