Triple

T12836592
Position Surface form Disambiguated ID Type / Status
Subject Eemsmond E306931 entity
Predicate containsSettlement P847 FINISHED
Object Toornwerd
Toornwerd is a small village in the province of Groningen in the northern Netherlands.
E1046267 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: Toornwerd | Statement: [Eemsmond, containsSettlement, Toornwerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toornwerd
Context triple: [Eemsmond, containsSettlement, Toornwerd]
  • A. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • B. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • E. Hornhuizen
    Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
  • 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: Toornwerd
Triple: [Eemsmond, containsSettlement, Toornwerd]
Generated description
Toornwerd is a small village in the province of Groningen in the northern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toornwerd
Target entity description: Toornwerd is a small village in the province of Groningen in the northern Netherlands.
  • A. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • B. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • E. Hornhuizen
    Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff015f4819090070a01f3938acc completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75e30545c8190b47bd1e06411a163 completed May 3, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f75e9fc1508190800291a16840a9a8 completed May 3, 2026, 2:41 p.m.
Created at: April 9, 2026, 5:35 p.m.