Triple

T12116596
Position Surface form Disambiguated ID Type / Status
Subject Leek E288577 entity
Predicate hasHistoricEstate P1098 FINISHED
Object Nienoord
Nienoord is a historic Dutch estate and former noble manor known for its stately house, gardens, and heritage attractions in the province of Groningen.
 E962620 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: Nienoord | Statement: [Leek, hasHistoricEstate, Nienoord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nienoord
Context triple: [Leek, hasHistoricEstate, Nienoord]
  • A. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • B. Noord
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • C. Noord
    Noord is a residential neighborhood located in the Dutch city of Tilburg.
  • D. Noord
    Noord is the northern terminus station of Amsterdam’s North–South metro line (Line 52), serving as a key public transport hub for the city’s northern districts.
  • E. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • 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: Nienoord
Triple: [Leek, hasHistoricEstate, Nienoord]
Generated description
Nienoord is a historic Dutch estate and former noble manor known for its stately house, gardens, and heritage attractions in the province of Groningen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nienoord
Target entity description: Nienoord is a historic Dutch estate and former noble manor known for its stately house, gardens, and heritage attractions in the province of Groningen.
  • A. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • B. Noord
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • C. Noord
    Noord is a residential neighborhood located in the Dutch city of Tilburg.
  • D. Noord
    Noord is the northern terminus station of Amsterdam’s North–South metro line (Line 52), serving as a key public transport hub for the city’s northern districts.
  • E. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67f9c30819089305d5d42210c34 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeeeb2081908191b1c2d1c2fbfd completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:49 p.m.