Triple
T17053190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijssen-Holten |
E413751
|
entity |
| Predicate | hasNotableSite |
P2462
|
FINISHED |
| Object |
Holterberg
Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
|
E1251076
|
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: Holterberg | Statement: [Rijssen-Holten, hasNotableSite, Holterberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holterberg Context triple: [Rijssen-Holten, hasNotableSite, Holterberg]
-
A.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
B.
Eikenberg
Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
-
C.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
D.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Seelenberg
Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
- 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: Holterberg Triple: [Rijssen-Holten, hasNotableSite, Holterberg]
Generated description
Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holterberg Target entity description: Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
-
A.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
B.
Eikenberg
Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
-
C.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
D.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Seelenberg
Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139f346f0819094a430a11e361bac |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013a9e70c8819081b11ad8db246223 |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:34 a.m.