Triple
T1358848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Vechta |
E29051
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
|
E217603
|
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: Vechta | Statement: [Count of Vechta, associatedWith, Vechta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vechta Context triple: [Count of Vechta, associatedWith, Vechta]
-
A.
Salland
Salland is a historical and rural region in the Dutch province of Overijssel, known for its scenic landscapes, small towns, and agricultural character.
-
B.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
C.
Oegstgeest
Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
-
D.
Ooijpolder
Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
-
E.
Nieuwe Waterweg
Nieuwe Waterweg is a major artificial ship canal in the Netherlands that provides a direct deep-water connection between the North Sea and the port of Rotterdam.
- 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: Vechta Triple: [Count of Vechta, associatedWith, Vechta]
Generated description
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vechta Target entity description: Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
A.
Salland
Salland is a historical and rural region in the Dutch province of Overijssel, known for its scenic landscapes, small towns, and agricultural character.
-
B.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
C.
Oegstgeest
Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
-
D.
Ooijpolder
Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
-
E.
Nieuwe Waterweg
Nieuwe Waterweg is a major artificial ship canal in the Netherlands that provides a direct deep-water connection between the North Sea and the port of Rotterdam.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ae387c8190b72ca26ab81a53b6 |
completed | March 8, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69adf55207248190bd903c7faa3729e7 |
completed | March 8, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf5e074088190b6b383fb93cd18d8 |
completed | March 8, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:56 p.m.