Triple

T1876329
Position Surface form Disambiguated ID Type / Status
Subject Kaag en Braassem E39152 entity
Predicate formedByMergerOf P77 FINISHED
Object Alkemade
Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
 E209245 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: Alkemade | Statement: [Kaag en Braassem, formedByMergerOf, Alkemade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alkemade
Context triple: [Kaag en Braassem, formedByMergerOf, Alkemade]
  • A. Logumer Vorwerk
    Logumer Vorwerk is a district of the seaport city of Emden in Lower Saxony, Germany.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • D. Krafft
    Krafft is a variant spelling of the surname Kraft, which is of German origin and borne by various notable individuals.
  • E. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • 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: Alkemade
Triple: [Kaag en Braassem, formedByMergerOf, Alkemade]
Generated description
Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alkemade
Target entity description: Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
  • A. Logumer Vorwerk
    Logumer Vorwerk is a district of the seaport city of Emden in Lower Saxony, Germany.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • D. Krafft
    Krafft is a variant spelling of the surname Kraft, which is of German origin and borne by various notable individuals.
  • E. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d902ac8190a2d9bb6f683986e4 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf56e2748190a2044d33d29d8324 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69addfe46b388190b319043170253701 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade08d0ce0819097beb901dbb39d89 completed March 8, 2026, 8:48 p.m.
Created at: March 4, 2026, 7:34 p.m.