Triple

T6668054
Position Surface form Disambiguated ID Type / Status
Subject Kagerplassen E151655 entity
Predicate hasPart P35 FINISHED
Object Joppe
Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
 E610178 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: Joppe | Statement: [Kagerplassen, hasPart, Joppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joppe
Context triple: [Kagerplassen, hasPart, Joppe]
  • A. Lesje
    Lesje is a central character in Margaret Atwood's novel "Life Before Man," portrayed as a paleontologist navigating complex personal relationships and questions of identity.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • D. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • E. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • 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: Joppe
Triple: [Kagerplassen, hasPart, Joppe]
Generated description
Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joppe
Target entity description: Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
  • A. Lesje
    Lesje is a central character in Margaret Atwood's novel "Life Before Man," portrayed as a paleontologist navigating complex personal relationships and questions of identity.
  • B. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • C. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • D. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • E. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c4a8e48190aa3b2e41902d2f86 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef109f5c8190aa28b5d7aa192e6e completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a498cc8190a0494082b91b012d completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f136ac648190b94a7cda43139fd0 completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:02 p.m.