Triple
T15898952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bautzen district |
E385533
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Frankenthal
Frankenthal is a small town located within the Bautzen district in the Free State of Saxony in eastern Germany.
|
E1187394
|
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: Frankenthal | Statement: [Bautzen district, containsTown, Frankenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankenthal Context triple: [Bautzen district, containsTown, Frankenthal]
-
A.
Morbach
Morbach is a small town in the Hunsrück region of Rhineland-Palatinate in western Germany, known for its scenic forests and rural landscapes.
-
B.
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
C.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
-
D.
Bernkastel-Wittlich
Bernkastel-Wittlich is a rural district in the German state of Rhineland-Palatinate, known for its wine-growing regions along the Moselle River and historic towns.
-
E.
Waldbronn
Waldbronn is a municipality in the state of Baden-Württemberg in southwestern Germany, known for its spa facilities and proximity to the city of Karlsruhe.
- 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: Frankenthal Triple: [Bautzen district, containsTown, Frankenthal]
Generated description
Frankenthal is a small town located within the Bautzen district in the Free State of Saxony in eastern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frankenthal Target entity description: Frankenthal is a small town located within the Bautzen district in the Free State of Saxony in eastern Germany.
-
A.
Morbach
Morbach is a small town in the Hunsrück region of Rhineland-Palatinate in western Germany, known for its scenic forests and rural landscapes.
-
B.
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
C.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
-
D.
Bernkastel-Wittlich
Bernkastel-Wittlich is a rural district in the German state of Rhineland-Palatinate, known for its wine-growing regions along the Moselle River and historic towns.
-
E.
Waldbronn
Waldbronn is a municipality in the state of Baden-Württemberg in southwestern Germany, known for its spa facilities and proximity to the city of Karlsruhe.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563bd0688190b6f7a695be0a4625 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bb7d608190babbea74a9ca9f4c |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc43121b08190a7a471dcb13cc133 |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4cea4108190927b107fc24df597 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:51 a.m.