Triple
T11021297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrachov |
E260494
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object |
Harrachsdorf
Harrachsdorf is the German name for Harrachov, a mountain town and ski resort in the Krkonoše (Giant) Mountains of the Czech Republic.
|
E919557
|
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: Harrachsdorf | Statement: [Harrachov, hasGermanName, Harrachsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrachsdorf Context triple: [Harrachov, hasGermanName, Harrachsdorf]
-
A.
Harsdorf
Harsdorf is a small municipality in the Bavarian region of Germany, known for its rural character and location within the Upper Franconia area.
-
B.
Sindelsdorf
Sindelsdorf is a small Bavarian municipality in southern Germany, known for its rural setting near the Alps and its association with early 20th-century Expressionist artists.
-
C.
Leuchau
Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
-
D.
Mitterau
Mitterau is a district of the Austrian city of Krems an der Donau, located in the state of Lower Austria.
-
E.
Premnitz
Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
- 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: Harrachsdorf Triple: [Harrachov, hasGermanName, Harrachsdorf]
Generated description
Harrachsdorf is the German name for Harrachov, a mountain town and ski resort in the Krkonoše (Giant) Mountains of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harrachsdorf Target entity description: Harrachsdorf is the German name for Harrachov, a mountain town and ski resort in the Krkonoše (Giant) Mountains of the Czech Republic.
-
A.
Harsdorf
Harsdorf is a small municipality in the Bavarian region of Germany, known for its rural character and location within the Upper Franconia area.
-
B.
Sindelsdorf
Sindelsdorf is a small Bavarian municipality in southern Germany, known for its rural setting near the Alps and its association with early 20th-century Expressionist artists.
-
C.
Leuchau
Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
-
D.
Mitterau
Mitterau is a district of the Austrian city of Krems an der Donau, located in the state of Lower Austria.
-
E.
Premnitz
Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bb6eec81909d8004af31f307f7 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e54263e930819099524917506c7eab |
completed | April 19, 2026, 9 p.m. |
| NEDg | Description generation | batch_69e545ad9840819096cb11f1d427ea38 |
completed | April 19, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e548c50aac81909f94ac2f35a29f41 |
completed | April 19, 2026, 9:27 p.m. |
Created at: April 8, 2026, 9:25 p.m.