Triple

T15968318
Position Surface form Disambiguated ID Type / Status
Subject Borgloon E387254 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Broekom
Broekom is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
 E1186014 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: Broekom | Statement: [Borgloon, hasMunicipalSection, Broekom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Broekom
Context triple: [Borgloon, hasMunicipalSection, Broekom]
  • A. Westerbroek
    Westerbroek is a village in the Dutch province of Groningen, known for its rural character and surrounding peat and nature areas.
  • B. Segbroek
    Segbroek is a district of The Hague in the Netherlands, known for its residential neighborhoods, green spaces, and proximity to the North Sea coast.
  • C. Vriezekoop
    Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
  • D. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • E. 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.
  • 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: Broekom
Triple: [Borgloon, hasMunicipalSection, Broekom]
Generated description
Broekom is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Broekom
Target entity description: Broekom is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
  • A. Westerbroek
    Westerbroek is a village in the Dutch province of Groningen, known for its rural character and surrounding peat and nature areas.
  • B. Segbroek
    Segbroek is a district of The Hague in the Netherlands, known for its residential neighborhoods, green spaces, and proximity to the North Sea coast.
  • C. Vriezekoop
    Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
  • D. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • E. 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.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157277e7881908d49f4874766b3b5 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe87149081909ac6129126f597c2 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:54 a.m.