Triple

T1358864
Position Surface form Disambiguated ID Type / Status
Subject Count of Vechta E29051 entity
Predicate presentDayAdministrativeRegion P15803 FINISHED
Object District of Vechta
The District of Vechta is a rural administrative district in Lower Saxony, Germany, known for its agriculture, Catholic traditions, and growing economy within the Oldenburg Münsterland region.
E157611 NE FINISHED

How this triple was built (5 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: District of Vechta | Statement: [Count of Vechta, presentDayAdministrativeRegion, District of Vechta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District of Vechta
Context triple: [Count of Vechta, presentDayAdministrativeRegion, District of Vechta]
  • A. Emsland
    Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
  • B. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • C. District of Borken
    The District of Borken is a rural administrative district in the western part of North Rhine-Westphalia, Germany, bordering the Netherlands and encompassing several towns and municipalities.
  • D. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • E. County of Nassau-Hadamar
    The County of Nassau-Hadamar was a small early modern German principality ruled by a branch of the House of Nassau within the Holy Roman Empire.
  • 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: District of Vechta
Triple: [Count of Vechta, presentDayAdministrativeRegion, District of Vechta]
Generated description
The District of Vechta is a rural administrative district in Lower Saxony, Germany, known for its agriculture, Catholic traditions, and growing economy within the Oldenburg Münsterland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: District of Vechta
Target entity description: The District of Vechta is a rural administrative district in Lower Saxony, Germany, known for its agriculture, Catholic traditions, and growing economy within the Oldenburg Münsterland region.
  • A. Emsland
    Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
  • B. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • C. District of Borken
    The District of Borken is a rural administrative district in the western part of North Rhine-Westphalia, Germany, bordering the Netherlands and encompassing several towns and municipalities.
  • D. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • E. County of Nassau-Hadamar
    The County of Nassau-Hadamar was a small early modern German principality ruled by a branch of the House of Nassau within the Holy Roman Empire.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presentDayAdministrativeRegion
Context triple: [Count of Vechta, presentDayAdministrativeRegion, District of Vechta]
  • A. currentLocationRegion chosen
    Indicates the region in which an entity is presently located.
  • B. arealRegion
    Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
  • C. presentDayMunicipality
    Indicates that one entity is the current-day municipality encompassing or corresponding to the area or jurisdiction of another (typically historical) entity.
  • D. hasAdministrativeArea
    Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
  • E. hasPostalAddressRegion
    Indicates the region component (such as state, province, or area) associated with an entity’s postal address.
  • F. None of above.

Provenance (6 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_69acd47b63c081908a859a88ad5564b8 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd5314ac08190abf0ed287689dc5f completed March 8, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69acd59842f08190976724ad981de3d8 completed March 8, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69a4bef7700c819099b294e8d9320e70 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.