Triple

T22153946
Position Surface form Disambiguated ID Type / Status
Subject Berkelland E547484 entity
Predicate hasSettlement P1068 FINISHED
Object Geesteren
Geesteren is a village in the municipality of Berkelland in the province of Gelderland in the eastern Netherlands.
E1521844 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: Geesteren | Statement: [Berkelland, hasSettlement, Geesteren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geesteren
Context triple: [Berkelland, hasSettlement, Geesteren]
  • A. Geesteren
    Geesteren is a village in the Dutch province of Overijssel, located within the municipality of Tubbergen.
  • B. Geeste
    Geeste is a river in northwestern Germany that flows through Lower Saxony and Bremen before reaching the North Sea near Bremerhaven.
  • C. Rhoonse Grienden
    Rhoonse Grienden is a Dutch nature reserve of tidal wetlands and willow forests near the village of Rhoon, known for its rich birdlife and characteristic river landscape along the Oude Maas.
  • D. De Schorre
    De Schorre is a large recreational and event park in Boom, Belgium, best known as the main site of the Tomorrowland music festival.
  • E. Zesgehuchten
    Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
  • 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: Geesteren
Triple: [Berkelland, hasSettlement, Geesteren]
Generated description
Geesteren is a village in the municipality of Berkelland in the province of Gelderland in the eastern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geesteren
Target entity description: Geesteren is a village in the municipality of Berkelland in the province of Gelderland in the eastern Netherlands.
  • A. Geesteren
    Geesteren is a village in the Dutch province of Overijssel, located within the municipality of Tubbergen.
  • B. Geeste
    Geeste is a river in northwestern Germany that flows through Lower Saxony and Bremen before reaching the North Sea near Bremerhaven.
  • C. Rhoonse Grienden
    Rhoonse Grienden is a Dutch nature reserve of tidal wetlands and willow forests near the village of Rhoon, known for its rich birdlife and characteristic river landscape along the Oude Maas.
  • D. De Schorre
    De Schorre is a large recreational and event park in Boom, Belgium, best known as the main site of the Tomorrowland music festival.
  • E. Zesgehuchten
    Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970a95488190ac723daa646820d0 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a98bae8bc8190bd6a87983a1a6732 completed May 18, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a99485cf881908764d64050667ea1 completed May 18, 2026, 4:44 a.m.
Created at: April 16, 2026, 8:33 p.m.