Triple
T14926936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sächsische Schweiz-Osterzgebirge |
E372156
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Glashütte
Glashütte is a renowned German town in Saxony famous worldwide as a historic center of high-end mechanical watchmaking.
|
E1127265
|
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: Glashütte | Statement: [Sächsische Schweiz-Osterzgebirge, containsTown, Glashütte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glashütte Context triple: [Sächsische Schweiz-Osterzgebirge, containsTown, Glashütte]
-
A.
Glashütte
Glashütte is a former municipality in northern Germany that was incorporated into the town of Norderstedt.
-
B.
Glashütten
Glashütten is a small municipality in the Hochtaunus district of Hesse, Germany, known for its scenic location in the Taunus mountains and its residential, forested character.
-
C.
Meissen
Meissen is a historic town in eastern Germany renowned for its medieval architecture and as the birthplace of European hard-paste porcelain.
-
D.
Gauting
Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
-
E.
Meuselwitz
Meuselwitz is a small town in the German state of Thuringia, known historically for its lignite mining and industrial heritage.
- 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: Glashütte Triple: [Sächsische Schweiz-Osterzgebirge, containsTown, Glashütte]
Generated description
Glashütte is a renowned German town in Saxony famous worldwide as a historic center of high-end mechanical watchmaking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glashütte Target entity description: Glashütte is a renowned German town in Saxony famous worldwide as a historic center of high-end mechanical watchmaking.
-
A.
Glashütte
Glashütte is a former municipality in northern Germany that was incorporated into the town of Norderstedt.
-
B.
Glashütten
Glashütten is a small municipality in the Hochtaunus district of Hesse, Germany, known for its scenic location in the Taunus mountains and its residential, forested character.
-
C.
Meissen
Meissen is a historic town in eastern Germany renowned for its medieval architecture and as the birthplace of European hard-paste porcelain.
-
D.
Gauting
Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
-
E.
Meuselwitz
Meuselwitz is a small town in the German state of Thuringia, known historically for its lignite mining and industrial heritage.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded633da0c8190b39f606212e48e71 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c4f9c481909642efccb29f71d4 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe744b9c048190ae2a64da53d8ffac |
completed | May 8, 2026, 11:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe74d510808190a2379a2380fc327e |
completed | May 8, 2026, 11:42 p.m. |
Created at: April 10, 2026, 2:35 a.m.