Triple

T21784911
Position Surface form Disambiguated ID Type / Status
Subject Leopoldsburg E537809 entity
Predicate subdivision P747 FINISHED
Object Heppen
Heppen is a village in the Belgian province of Limburg that forms part of the municipality of Leopoldsburg.
 E1502609 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: Heppen | Statement: [Leopoldsburg, subdivision, Heppen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heppen
Context triple: [Leopoldsburg, subdivision, Heppen]
  • A. Jutphaas
    Jutphaas is a former village in the Dutch province of Utrecht that has been incorporated into the municipality and town of Nieuwegein.
  • B. Hoefnagel
    Hoefnagel is a Dutch-origin surname associated with a notable family name.
  • C. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • D. Hamren
    Hamren is a town in the Indian state of Assam that serves as the main administrative and service center for the surrounding West Karbi Anglong region.
  • E. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban 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: Heppen
Triple: [Leopoldsburg, subdivision, Heppen]
Generated description
Heppen is a village in the Belgian province of Limburg that forms part of the municipality of Leopoldsburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heppen
Target entity description: Heppen is a village in the Belgian province of Limburg that forms part of the municipality of Leopoldsburg.
  • A. Jutphaas
    Jutphaas is a former village in the Dutch province of Utrecht that has been incorporated into the municipality and town of Nieuwegein.
  • B. Hoefnagel
    Hoefnagel is a Dutch-origin surname associated with a notable family name.
  • C. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • D. Hamren
    Hamren is a town in the Indian state of Assam that serves as the main administrative and service center for the surrounding West Karbi Anglong region.
  • E. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e71399c8190b80ebe0870bbcda9 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f80ad2c8190bc9b8de10b37c826 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.