Triple

T6605624
Position Surface form Disambiguated ID Type / Status
Subject Grimbergen E149109 entity
Predicate hasPart P35 FINISHED
Object Humbeek
Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
 E690417 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: Humbeek | Statement: [Grimbergen, hasPart, Humbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Humbeek
Context triple: [Grimbergen, hasPart, Humbeek]
  • A. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • B. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • C. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • D. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • E. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • 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: Humbeek
Triple: [Grimbergen, hasPart, Humbeek]
Generated description
Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Humbeek
Target entity description: Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • A. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • B. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • C. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • D. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • E. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af143d5c8190b62602602510b1cb completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c934b54a7c81909cdccd01af24c73d completed March 29, 2026, 2:18 p.m.
NEDg Description generation batch_69c93595216c81908bcb5166269540aa completed March 29, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69c9368cc6848190bcafcc16fe334d24 completed March 29, 2026, 2:26 p.m.
Created at: March 27, 2026, 1:56 p.m.