Triple
T9190456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banie Mazurskie |
E220572
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object |
Benkheim
Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
|
E783909
|
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: Benkheim | Statement: [Banie Mazurskie, hasGermanName, Benkheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benkheim Context triple: [Banie Mazurskie, hasGermanName, Benkheim]
-
A.
Berkheim
Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
B.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
C.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Bornheim
Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
- 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: Benkheim Triple: [Banie Mazurskie, hasGermanName, Benkheim]
Generated description
Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benkheim Target entity description: Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
-
A.
Berkheim
Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
B.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
C.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Bornheim
Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c272f508190aade1769c88cf16d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cda59f88190bcde5a91aec2f9dd |
completed | April 4, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05ddd28008190b82c42220871e73f |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.