Triple

T6793643
Position Surface form Disambiguated ID Type / Status
Subject South Limburg E155996 entity
Predicate contains P35 FINISHED
Object Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
 E691444 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: Beekdaelen | Statement: [South Limburg, contains, Beekdaelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beekdaelen
Context triple: [South Limburg, contains, Beekdaelen]
  • A. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • B. Nijverdal
    Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
  • C. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • D. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • 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: Beekdaelen
Triple: [South Limburg, contains, Beekdaelen]
Generated description
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beekdaelen
Target entity description: Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
  • A. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • B. Nijverdal
    Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
  • C. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • D. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2af6f908190809e39b73894e513 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9855a13d4819099ee6bf89566291f completed March 29, 2026, 8:02 p.m.
NEDg Description generation batch_69c986dfa0f8819086aee2d6c657e5d6 completed March 29, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69c9872e1cf881908bafc6f532502765 completed March 29, 2026, 8:10 p.m.
Created at: March 27, 2026, 2:15 p.m.