Triple
T8730311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiemgau region |
E207237
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Grassau
Grassau is a Bavarian town in southern Germany, known for its scenic location near the Alps and the Chiemsee lake in the Chiemgau region.
|
E800311
|
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: Grassau | Statement: [Chiemgau region, hasTown, Grassau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grassau Context triple: [Chiemgau region, hasTown, Grassau]
-
A.
Gaissau
Gaissau is a small municipality in the Austrian state of Vorarlberg, located near the Rhine River and the border with Switzerland.
-
B.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
C.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
D.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
E.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian 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: Grassau Triple: [Chiemgau region, hasTown, Grassau]
Generated description
Grassau is a Bavarian town in southern Germany, known for its scenic location near the Alps and the Chiemsee lake in the Chiemgau region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grassau Target entity description: Grassau is a Bavarian town in southern Germany, known for its scenic location near the Alps and the Chiemsee lake in the Chiemgau region.
-
A.
Gaissau
Gaissau is a small municipality in the Austrian state of Vorarlberg, located near the Rhine River and the border with Switzerland.
-
B.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
C.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
D.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
E.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d26d280819085e15d4917c2b9a5 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121cb33188190b5b70020a041c18f |
completed | April 4, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_69d1231adb4481908fac11cae099d0de |
completed | April 4, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123fcc8f48190838abd08a4af0a63 |
completed | April 4, 2026, 2:45 p.m. |
Created at: March 30, 2026, 6:37 p.m.