Triple
T21900688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmünd District |
E540798
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Großdietmanns
Großdietmanns is a municipality in the Austrian state of Lower Austria, known for its rural character within the Gmünd District near the Czech border.
|
E1508527
|
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: Großdietmanns | Statement: [Gmünd District, containsMunicipality, Großdietmanns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Großdietmanns Context triple: [Gmünd District, containsMunicipality, Großdietmanns]
-
A.
Dagmersellen
Dagmersellen is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and location in the Wigger river valley.
-
B.
Rödelmaier
Rödelmaier is a small municipality in the Bavarian district of Rhön-Grabfeld in Germany, known for its rural setting near the Rhön mountains.
-
C.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
D.
Memmingerberg
Memmingerberg is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
-
E.
Rollingergrund
Rollingergrund is a district of Luxembourg City known for its residential character and proximity to central neighborhoods like Limpertsberg.
- 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: Großdietmanns Triple: [Gmünd District, containsMunicipality, Großdietmanns]
Generated description
Großdietmanns is a municipality in the Austrian state of Lower Austria, known for its rural character within the Gmünd District near the Czech border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Großdietmanns Target entity description: Großdietmanns is a municipality in the Austrian state of Lower Austria, known for its rural character within the Gmünd District near the Czech border.
-
A.
Dagmersellen
Dagmersellen is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and location in the Wigger river valley.
-
B.
Rödelmaier
Rödelmaier is a small municipality in the Bavarian district of Rhön-Grabfeld in Germany, known for its rural setting near the Rhön mountains.
-
C.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
D.
Memmingerberg
Memmingerberg is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
-
E.
Rollingergrund
Rollingergrund is a district of Luxembourg City known for its residential character and proximity to central neighborhoods like Limpertsberg.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fcb18748190a21071c122b7e6d5 |
completed | April 28, 2026, 8:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a5a04ffb88190b60422329c11fe58 |
completed | May 18, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_6a0a5dc336448190af4ef12bd04f2254 |
completed | May 18, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5ea822cc8190825f183896a3e1c4 |
completed | May 18, 2026, 12:34 a.m. |
Created at: April 16, 2026, 7:07 p.m.