Triple
T13412719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunsrück |
E320128
|
entity |
| Predicate | hasNotableTown |
P14082
|
FINISHED |
| Object |
Morbach
Morbach is a small town in the Hunsrück region of Rhineland-Palatinate in western Germany, known for its scenic forests and rural landscapes.
|
E1087273
|
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: Morbach | Statement: [Hunsrück, hasNotableTown, Morbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morbach Context triple: [Hunsrück, hasNotableTown, Morbach]
-
A.
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
B.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
-
C.
Wiehl
Wiehl is a small town in western Germany’s North Rhine-Westphalia region, known for its picturesque setting in the hilly Bergisches Land and its mix of rural charm and light industry.
-
D.
Weilburg
Weilburg is a historic town in the German state of Hesse, known for its Renaissance castle and as the ancestral seat of the House of Nassau-Weilburg.
-
E.
Nussloch
Nussloch is a small town in southwestern Germany, known in part for hosting the headquarters of medical technology company Leica Biosystems.
- 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: Morbach Triple: [Hunsrück, hasNotableTown, Morbach]
Generated description
Morbach is a small town in the Hunsrück region of Rhineland-Palatinate in western Germany, known for its scenic forests and rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morbach Target entity description: Morbach is a small town in the Hunsrück region of Rhineland-Palatinate in western Germany, known for its scenic forests and rural landscapes.
-
A.
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
B.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
-
C.
Wiehl
Wiehl is a small town in western Germany’s North Rhine-Westphalia region, known for its picturesque setting in the hilly Bergisches Land and its mix of rural charm and light industry.
-
D.
Weilburg
Weilburg is a historic town in the German state of Hesse, known for its Renaissance castle and as the ancestral seat of the House of Nassau-Weilburg.
-
E.
Nussloch
Nussloch is a small town in southwestern Germany, known in part for hosting the headquarters of medical technology company Leica Biosystems.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f43bf081908dea65dc05f7c1a2 |
completed | May 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69fd2aeea5808190bf350b25f520e6d4 |
completed | May 8, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b57474881909f780cf51c2e06a3 |
completed | May 8, 2026, 12:16 a.m. |
Created at: April 9, 2026, 9:35 p.m.