Triple
T21900690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmünd District |
E540798
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Haugschlag
Haugschlag is a small municipality in Lower Austria near the Czech border, known for its rural landscape and golf tourism.
|
E1508528
|
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: Haugschlag | Statement: [Gmünd District, containsMunicipality, Haugschlag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haugschlag Context triple: [Gmünd District, containsMunicipality, Haugschlag]
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Reideburg
Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
-
C.
Hauenstein
Hauenstein is a municipality in the canton of Solothurn in Switzerland, known for its rural setting in the Jura Mountains region.
-
D.
Wildenberg
Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
-
E.
Hjorthagen
Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
- 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: Haugschlag Triple: [Gmünd District, containsMunicipality, Haugschlag]
Generated description
Haugschlag is a small municipality in Lower Austria near the Czech border, known for its rural landscape and golf tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haugschlag Target entity description: Haugschlag is a small municipality in Lower Austria near the Czech border, known for its rural landscape and golf tourism.
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Reideburg
Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
-
C.
Hauenstein
Hauenstein is a municipality in the canton of Solothurn in Switzerland, known for its rural setting in the Jura Mountains region.
-
D.
Wildenberg
Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
-
E.
Hjorthagen
Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
- 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.