Triple

T1381571
Position Surface form Disambiguated ID Type / Status
Subject Emden E29348 entity
Predicate hasSubdivision P747 FINISHED
Object Borssum
Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
 E160778 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: Borssum | Statement: [Emden, hasSubdivision, Borssum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borssum
Context triple: [Emden, hasSubdivision, Borssum]
  • A. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • B. Sporenburg
    Sporenburg is a residential peninsula in Amsterdam known for its modern architecture and innovative urban design within the city’s Eastern Docklands.
  • C. Borsele
    Borsele is a municipality in the Dutch province of Zeeland, known for its rural landscape, villages, and the nearby Borssele nuclear power plant.
  • D. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
  • E. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • 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: Borssum
Triple: [Emden, hasSubdivision, Borssum]
Generated description
Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borssum
Target entity description: Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
  • A. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • B. Sporenburg
    Sporenburg is a residential peninsula in Amsterdam known for its modern architecture and innovative urban design within the city’s Eastern Docklands.
  • C. Borsele
    Borsele is a municipality in the Dutch province of Zeeland, known for its rural landscape, villages, and the nearby Borssele nuclear power plant.
  • D. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
  • E. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c31b176c8190a896183140c5c8be completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1c7e5c8190a6b999f2d5dce088 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdf6d89d881908755179f97213ab3 completed March 8, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ace0919bd481909654f891c67a0cd0 completed March 8, 2026, 2:36 a.m.
Created at: March 1, 2026, 7:59 p.m.