Triple
T7157931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldviertel |
E166861
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Nebelstein
Nebelstein is a prominent mountain in Lower Austria known as the highest elevation in the Waldviertel region and a popular destination for hiking and nature tourism.
|
E645412
|
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: Nebelstein | Statement: [Waldviertel, highestPoint, Nebelstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebelstein Context triple: [Waldviertel, highestPoint, Nebelstein]
-
A.
Nebel
Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
-
B.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
C.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
D.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
-
E.
Horriwil
Horriwil is a small Swiss municipality located in the canton of Solothurn.
- 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: Nebelstein Triple: [Waldviertel, highestPoint, Nebelstein]
Generated description
Nebelstein is a prominent mountain in Lower Austria known as the highest elevation in the Waldviertel region and a popular destination for hiking and nature tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nebelstein Target entity description: Nebelstein is a prominent mountain in Lower Austria known as the highest elevation in the Waldviertel region and a popular destination for hiking and nature tourism.
-
A.
Nebel
Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
-
B.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
C.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
D.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
-
E.
Horriwil
Horriwil is a small Swiss municipality located in the canton of Solothurn.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80f14808190907ee84523630d85 |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adbbe8008190b470cf049ba4be52 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7aeca9b0c8190a9255e9e04689192 |
completed | March 28, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af3aea348190be03e85322d49879 |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:47 p.m.