Triple
T16799941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxon Ore Mountain mining region |
E408328
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object |
Stollberg
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
|
E1261118
|
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: Stollberg | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Stollberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stollberg Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Stollberg]
-
A.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
B.
Sträubel
Sträubel is a German-language surname, likely a variant of "Straubel," borne by individuals of German or Central European origin.
-
C.
Günterstal
Günterstal is a district of Freiburg im Breisgau in southwestern Germany, known for its scenic valley setting in the Black Forest and historic monastery.
-
D.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and 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: Stollberg Triple: [Saxon Ore Mountain mining region, hasImportantTown, Stollberg]
Generated description
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stollberg Target entity description: Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
-
A.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
B.
Sträubel
Sträubel is a German-language surname, likely a variant of "Straubel," borne by individuals of German or Central European origin.
-
C.
Günterstal
Günterstal is a district of Freiburg im Breisgau in southwestern Germany, known for its scenic valley setting in the Black Forest and historic monastery.
-
D.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2acd3548190a5f6ce7d1cf74117 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180bf3d308190b4965d57fe327a52 |
completed | May 11, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_6a0181fcce3081909822812f113f24c8 |
completed | May 11, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0182ccd104819088569cf0be87b4d3 |
completed | May 11, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:22 a.m.