Triple
T20389238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idar-Oberstein |
E498041
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Oberstein
Oberstein is a former German town that later became part of the city of Idar-Oberstein, historically known for its gemstone and jewelry industry.
|
E1428705
|
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: Oberstein | Statement: [Idar-Oberstein, formedByMergerOf, Oberstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberstein Context triple: [Idar-Oberstein, formedByMergerOf, Oberstein]
-
A.
Breuberg
Breuberg is a small town in the German state of Hesse, known for its well-preserved medieval hilltop castle overlooking the Odenwald region.
-
B.
Obernbeck
Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
-
C.
Oberthal
Oberthal is a small municipality in the canton of Bern in Switzerland, known for its rural landscape and traditional Swiss countryside character.
-
D.
Treisberg
Treisberg is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
-
E.
Giebichenstein
Giebichenstein is a district of Halle (Saale) in Germany, historically notable as the birthplace of World War I flying ace Oswald Boelcke.
- 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: Oberstein Triple: [Idar-Oberstein, formedByMergerOf, Oberstein]
Generated description
Oberstein is a former German town that later became part of the city of Idar-Oberstein, historically known for its gemstone and jewelry industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberstein Target entity description: Oberstein is a former German town that later became part of the city of Idar-Oberstein, historically known for its gemstone and jewelry industry.
-
A.
Breuberg
Breuberg is a small town in the German state of Hesse, known for its well-preserved medieval hilltop castle overlooking the Odenwald region.
-
B.
Obernbeck
Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
-
C.
Oberthal
Oberthal is a small municipality in the canton of Bern in Switzerland, known for its rural landscape and traditional Swiss countryside character.
-
D.
Treisberg
Treisberg is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
-
E.
Giebichenstein
Giebichenstein is a district of Halle (Saale) in Germany, historically notable as the birthplace of World War I flying ace Oswald Boelcke.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08762218448190a3339dbbe0f23962 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a087754af1481909a8ffa042aad2f42 |
completed | May 16, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877dcf9548190bd42db7a54aea824 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 11:28 a.m.