Triple

T2973406
Position Surface form Disambiguated ID Type / Status
Subject Heemstede E80335 entity
Predicate borderedBy P224 FINISHED
Object Bennebroek
Bennebroek is a small town in North Holland, Netherlands, known as one of the country’s smallest former municipalities before merging into Bloemendaal.
E318950 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: Bennebroek | Statement: [Heemstede, borderedBy, Bennebroek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennebroek
Context triple: [Heemstede, borderedBy, Bennebroek]
  • A. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • B. Oudenarde
    Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • C. Zuidbroek
    Zuidbroek is a village in the province of Groningen in the northeastern Netherlands, known historically as a small canal-side settlement in a largely rural landscape.
  • D. Woubrugge
    Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
  • E. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, 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: Bennebroek
Triple: [Heemstede, borderedBy, Bennebroek]
Generated description
Bennebroek is a small town in North Holland, Netherlands, known as one of the country’s smallest former municipalities before merging into Bloemendaal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bennebroek
Target entity description: Bennebroek is a small town in North Holland, Netherlands, known as one of the country’s smallest former municipalities before merging into Bloemendaal.
  • A. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • B. Oudenarde
    Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • C. Zuidbroek
    Zuidbroek is a village in the province of Groningen in the northeastern Netherlands, known historically as a small canal-side settlement in a largely rural landscape.
  • D. Woubrugge
    Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
  • E. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e27863881909c1c4b26e030e4bf completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12ec0eeb08190943ca528fdcf2cf2 completed March 11, 2026, 8:58 a.m.
NED2 Entity disambiguation (via description) batch_69b1d2cf78e88190b548e75cdaca6a66 completed March 11, 2026, 8:38 p.m.
Created at: March 8, 2026, 2:58 p.m.