Triple
T9498663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neumarkt in der Oberpfalz (district) |
E229077
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Velburg
Velburg is a small Bavarian town in southeastern Germany known for its historic castle ruins and scenic location in the Upper Palatinate region.
|
E802096
|
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: Velburg | Statement: [Neumarkt in der Oberpfalz (district), contains, Velburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velburg Context triple: [Neumarkt in der Oberpfalz (district), contains, Velburg]
-
A.
Veeningen
Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
-
B.
Vredenburg
Vredenburg is a town on South Africa’s West Coast that serves as a regional commercial and service hub near Saldanha Bay.
-
C.
Rolandswerth
Rolandswerth is a district of the German town of Remagen, situated along the Rhine River in the state of Rhineland-Palatinate.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
- 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: Velburg Triple: [Neumarkt in der Oberpfalz (district), contains, Velburg]
Generated description
Velburg is a small Bavarian town in southeastern Germany known for its historic castle ruins and scenic location in the Upper Palatinate region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velburg Target entity description: Velburg is a small Bavarian town in southeastern Germany known for its historic castle ruins and scenic location in the Upper Palatinate region.
-
A.
Veeningen
Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
-
B.
Vredenburg
Vredenburg is a town on South Africa’s West Coast that serves as a regional commercial and service hub near Saldanha Bay.
-
C.
Rolandswerth
Rolandswerth is a district of the German town of Remagen, situated along the Rhine River in the state of Rhineland-Palatinate.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d3aafb88190ac53289039bca88a |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d12dcae2088190bdb4ebac9021e622 |
completed | April 4, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e4077a4819094e86eb0de69b2ed |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:56 p.m.