Triple
T4485336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franconian Alb |
E107221
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
|
E445995
|
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: Hesselberg | Statement: [Franconian Alb, highestPoint, Hesselberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hesselberg Context triple: [Franconian Alb, highestPoint, Hesselberg]
-
A.
Lutterberg
Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
-
B.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Valkhof
Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
-
E.
Vogelthal
Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
- 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: Hesselberg Triple: [Franconian Alb, highestPoint, Hesselberg]
Generated description
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hesselberg Target entity description: Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
A.
Lutterberg
Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
-
B.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Valkhof
Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
-
E.
Vogelthal
Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd52a758f48190b6b59ca0d9207c2a |
completed | March 20, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd56b2f4e08190812d3909cc327b06 |
completed | March 20, 2026, 2:16 p.m. |
| NEDg | Description generation | batch_69bd57b4bbdc819098274df04059b6a7 |
completed | March 20, 2026, 2:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd580f65108190b9417fd25609b57c |
completed | March 20, 2026, 2:22 p.m. |
Created at: March 20, 2026, 12:59 p.m.