Triple

T18311130
Position Surface form Disambiguated ID Type / Status
Subject Giessenlanden E438625 entity
Predicate containsSettlement P847 FINISHED
Object Spijk
Spijk is a small village in the Dutch province of South Holland, known as a rural settlement within the municipality of Giessenlanden.
 E1317608 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: Spijk | Statement: [Giessenlanden, containsSettlement, Spijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spijk
Context triple: [Giessenlanden, containsSettlement, Spijk]
  • A. Spijk
    Spijk is a small village in the Dutch province of Groningen, known for its rural character and historic setting near the Ems estuary.
  • B. Scherpenisse
    Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
  • C. Spijkerboor
    Spijkerboor is a small village in the Dutch province of North Holland, situated within the municipality of Wormerland.
  • D. Spijkerboor
    Spijkerboor is a small village in the Dutch province of South Holland, known for its location amid the lakes and waterways of the Kagerplassen area.
  • E. Schijndel
    Schijndel is a town in the Dutch province of North Brabant, known for its rural character and location between the cities of ’s-Hertogenbosch and Eindhoven.
  • 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: Spijk
Triple: [Giessenlanden, containsSettlement, Spijk]
Generated description
Spijk is a small village in the Dutch province of South Holland, known as a rural settlement within the municipality of Giessenlanden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spijk
Target entity description: Spijk is a small village in the Dutch province of South Holland, known as a rural settlement within the municipality of Giessenlanden.
  • A. Spijk
    Spijk is a small village in the Dutch province of Groningen, known for its rural character and historic setting near the Ems estuary.
  • B. Scherpenisse
    Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
  • C. Spijkerboor
    Spijkerboor is a small village in the Dutch province of North Holland, situated within the municipality of Wormerland.
  • D. Spijkerboor
    Spijkerboor is a small village in the Dutch province of South Holland, known for its location amid the lakes and waterways of the Kagerplassen area.
  • E. Schijndel
    Schijndel is a town in the Dutch province of North Brabant, known for its rural character and location between the cities of ’s-Hertogenbosch and Eindhoven.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb6640e88190bed9e233fc14ecec completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bcc98f6081908d85c0f08cea8f5d completed May 12, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_6a03c062f9088190aef638dfc212d283 completed May 13, 2026, 12:05 a.m.
Created at: April 10, 2026, 10:36 a.m.