Triple

T3472506
Position Surface form Disambiguated ID Type / Status
Subject Borsele E73295 entity
Predicate hasVillage P4011 FINISHED
Object Kwadendamme
Kwadendamme is a small village in the Dutch province of Zeeland, known for its rural character and traditional village atmosphere.
 E361418 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: Kwadendamme | Statement: [Borsele, hasVillage, Kwadendamme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kwadendamme
Context triple: [Borsele, hasVillage, Kwadendamme]
  • A. Gariepdam
    Gariepdam is a small South African town on the banks of the Gariep Dam, known primarily as a holiday and water-sport destination.
  • B. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • C. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • D. Kemsing
    Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
  • E. Damga
    Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
  • 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: Kwadendamme
Triple: [Borsele, hasVillage, Kwadendamme]
Generated description
Kwadendamme is a small village in the Dutch province of Zeeland, known for its rural character and traditional village atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kwadendamme
Target entity description: Kwadendamme is a small village in the Dutch province of Zeeland, known for its rural character and traditional village atmosphere.
  • A. Gariepdam
    Gariepdam is a small South African town on the banks of the Gariep Dam, known primarily as a holiday and water-sport destination.
  • B. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • C. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • D. Kemsing
    Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
  • E. Damga
    Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36810958c81908982e0ef996dc480 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b4e504819094ca0adbdbe7bfd9 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693a8d6481909dadce4ac6109ff3 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.