Triple
T6551831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Borken |
E151146
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Velen
Velen is a small town in western Germany’s North Rhine-Westphalia region, known for its rural character and historic buildings.
|
E604607
|
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: Velen | Statement: [District of Borken, contains, Velen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velen Context triple: [District of Borken, contains, Velen]
-
A.
Vaas
Vaas is a Sri Lankan surname most famously associated with Chaminda Vaas, a former international cricketer and one of Sri Lanka’s greatest fast bowlers.
-
B.
Viddalba
Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
-
C.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
D.
Vytegra
Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
-
E.
Daulian
Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
- 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: Velen Triple: [District of Borken, contains, Velen]
Generated description
Velen is a small town in western Germany’s North Rhine-Westphalia region, known for its rural character and historic buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velen Target entity description: Velen is a small town in western Germany’s North Rhine-Westphalia region, known for its rural character and historic buildings.
-
A.
Vaas
Vaas is a Sri Lankan surname most famously associated with Chaminda Vaas, a former international cricketer and one of Sri Lanka’s greatest fast bowlers.
-
B.
Viddalba
Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
-
C.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
D.
Vytegra
Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
-
E.
Daulian
Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae05cd988190a013226b14cd98f0 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55416e48190b574e37a6f2e6690 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d6acc2208190ac47c60bb896c1cd |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.