Triple

T6356050
Position Surface form Disambiguated ID Type / Status
Subject Zemst E142992 entity
Predicate hasSubdivision P747 FINISHED
Object Eppegem
Eppegem is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Zemst.
 E589199 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: Eppegem | Statement: [Zemst, hasSubdivision, Eppegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eppegem
Context triple: [Zemst, hasSubdivision, Eppegem]
  • A. Enodia
    Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
  • B. Horriwil
    Horriwil is a small Swiss municipality located in the canton of Solothurn.
  • C. Empusa
    Empusa is a shape-shifting female demon from Greek mythology, often depicted as a terrifying night-stalking creature who preys on travelers and seduces men before devouring them.
  • D. Exelmans
    Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
  • E. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • 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: Eppegem
Triple: [Zemst, hasSubdivision, Eppegem]
Generated description
Eppegem is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Zemst.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eppegem
Target entity description: Eppegem is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Zemst.
  • A. Enodia
    Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
  • B. Horriwil
    Horriwil is a small Swiss municipality located in the canton of Solothurn.
  • C. Empusa
    Empusa is a shape-shifting female demon from Greek mythology, often depicted as a terrifying night-stalking creature who preys on travelers and seduces men before devouring them.
  • D. Exelmans
    Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
  • E. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e22c00819089bc68efb85bc2c8 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5966a88190a7184157b235b170 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62f5da47081908c995e28ba2ee3f8 completed March 27, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69c62fd9dd4c819091e0d87259f9d60f completed March 27, 2026, 7:20 a.m.
Created at: March 22, 2026, 4:32 p.m.