Triple
T3917458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murg |
E88875
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Schönmünz
Schönmünz is a small river in the Black Forest region of southwestern Germany that flows through Baden-Württemberg before joining the Murg.
|
E400069
|
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: Schönmünz | Statement: [Murg, hasTributary, Schönmünz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönmünz Context triple: [Murg, hasTributary, Schönmünz]
-
A.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
B.
Münnich
Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Grafenwerth
Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
-
E.
Münsing
Münsing is a municipality in Bavaria, Germany, located near Lake Starnberg and known for its scenic rural landscape and proximity to the Alps.
- 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: Schönmünz Triple: [Murg, hasTributary, Schönmünz]
Generated description
Schönmünz is a small river in the Black Forest region of southwestern Germany that flows through Baden-Württemberg before joining the Murg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schönmünz Target entity description: Schönmünz is a small river in the Black Forest region of southwestern Germany that flows through Baden-Württemberg before joining the Murg.
-
A.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
B.
Münnich
Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Grafenwerth
Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
-
E.
Münsing
Münsing is a municipality in Bavaria, Germany, located near Lake Starnberg and known for its scenic rural landscape and proximity to the Alps.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5797508190adaddb84575d9bb3 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52864e0488190ab348a52cb9168b9 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b52c3423988190aae6514041dc8ab3 |
completed | March 14, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52ca9443481909e43a8bbe208c807 |
completed | March 14, 2026, 9:38 a.m. |
Created at: March 9, 2026, 3:22 p.m.