Triple

T1067040
Position Surface form Disambiguated ID Type / Status
Subject Limburg (Netherlands) E23233 entity
Predicate containsCity P294 FINISHED
Object Sittard-Geleen
Sittard-Geleen is a municipality and city in the southern Netherlands known for its historic town centers and location near the German and Belgian borders.
 E454917 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: Sittard-Geleen | Statement: [Limburg (Netherlands), containsCity, Sittard-Geleen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sittard-Geleen
Context triple: [Limburg (Netherlands), containsCity, Sittard-Geleen]
  • A. Harderwijk
    Harderwijk is a historic Dutch city known for its former Hanseatic trading role and scenic location on the shores of the Veluwemeer.
  • B. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • C. Wijchen
    Wijchen is a town and municipality in the Dutch province of Gelderland, located just southwest of the city of Nijmegen.
  • D. Heerlen
    Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
  • E. Cuijk
    Cuijk is a historic town in the Dutch province of North Brabant, known for its Roman-era heritage and location along the River Meuse.
  • 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: Sittard-Geleen
Triple: [Limburg (Netherlands), containsCity, Sittard-Geleen]
Generated description
Sittard-Geleen is a municipality and city in the southern Netherlands known for its historic town centers and location near the German and Belgian borders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sittard-Geleen
Target entity description: Sittard-Geleen is a municipality and city in the southern Netherlands known for its historic town centers and location near the German and Belgian borders.
  • A. Harderwijk
    Harderwijk is a historic Dutch city known for its former Hanseatic trading role and scenic location on the shores of the Veluwemeer.
  • B. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • C. Wijchen
    Wijchen is a town and municipality in the Dutch province of Gelderland, located just southwest of the city of Nijmegen.
  • D. Heerlen
    Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
  • E. Cuijk
    Cuijk is a historic town in the Dutch province of North Brabant, known for its Roman-era heritage and location along the River Meuse.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b911f06881908659cb85ba1e05e0 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0234b6481908dcf37da32cf856b completed March 21, 2026, 12:02 a.m.
NEDg Description generation batch_69bde3aefee8819097c472928dca0869 completed March 21, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_69bde40688a0819098caec5dd544ed8d completed March 21, 2026, 12:19 a.m.
Created at: March 1, 2026, 7:42 p.m.